{"id":118205,"date":"2025-08-15T06:30:47","date_gmt":"2025-08-15T06:30:47","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d8%af%d9%88%d8%b1%d9%87-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d8%aa%d9%82%d9%88%db%8c%d8%aa%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%b9%d8%a7%d9%85%d9%84%d9%87%d8%a7%db%8c-q-%d8%b9%d9%85\/"},"modified":"2025-08-15T06:30:49","modified_gmt":"2025-08-15T06:30:49","slug":"%d8%af%d9%88%d8%b1%d9%87-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d8%aa%d9%82%d9%88%db%8c%d8%aa%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%b9%d8%a7%d9%85%d9%84%d9%87%d8%a7%db%8c-q-%d8%b9%d9%85","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d8%af%d9%88%d8%b1%d9%87-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d8%aa%d9%82%d9%88%db%8c%d8%aa%db%8c-%d9%85%d8%af%d8%b1%d9%86-%d8%b9%d8%a7%d9%85%d9%84%d9%87%d8%a7%db%8c-q-%d8%b9%d9%85\/","title":{"rendered":"\u062f\u0648\u0631\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0645\u062f\u0631\u0646: \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc Q \u0639\u0645\u06cc\u0642 (\u067e\u0627\u06cc\u200c\u062a\u0648\u0631\u0686 \u0648 TF2) \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB"},"content":{"rendered":"\n\n\n\n\n\n
\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/th>\n Udemy – Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2) 2020-10 – <\/td>\n<\/tr>\n
\u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc<\/th>\n\u062f\u0648\u0631\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0645\u062f\u0631\u0646: \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc Q \u0639\u0645\u06cc\u0642 (\u067e\u0627\u06cc\u200c\u062a\u0648\u0631\u0686 \u0648 TF2) \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB<\/td>\n<\/tr>\n
\u0632\u0628\u0627\u0646<\/th>\n\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0628\u0627 \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u0641\u0627\u0631\u0633\u06cc<\/td>\n<\/tr>\n
\u0646\u0648\u0639 \u0645\u062d\u0635\u0648\u0644<\/th>\n\u0622\u0645\u0648\u0632\u0634 \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc<\/td>\n<\/tr>\n
\u0646\u062d\u0648\u0647 \u062a\u062d\u0648\u06cc\u0644<\/th>\n\u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc<\/td>\n<\/tr>\n<\/table>\n
\r\n

\ud83c\udf93 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0628\u06cc\u200c\u0646\u0638\u06cc\u0631 <\/h2>\r\n
    \r\n
  • \u0632\u06cc\u0631\u0646\u0648\u06cc\u0633 \u06a9\u0627\u0645\u0644\u0627\u064b \u0641\u0627\u0631\u0633\u06cc<\/strong> \u0628\u0631\u0627\u06cc \u062f\u0631\u06a9 \u0622\u0633\u0627\u0646 \u0648 \u0633\u0631\u06cc\u0639<\/li>\r\n
  • \u0627\u0631\u0627\u0626\u0647\u200c\u0634\u062f\u0647 \u0631\u0648\u06cc \u0641\u0644\u0634 32 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc<\/strong><\/li>\r\n
  • \u0622\u0645\u0627\u062f\u0647 \u0627\u0631\u0633\u0627\u0644 \u0641\u0648\u0631\u06cc \u0628\u0647 \u0633\u0631\u0627\u0633\u0631 \u06a9\u0634\u0648\u0631<\/li>\r\n\r\n <\/ul>\r\n

    \r\n \ud83d\udcda \u0634\u0631\u0648\u0639 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0647\u0645\u06cc\u0646 \u0627\u0645\u0631\u0648\u0632 \u2014 \u0641\u0631\u0635\u062a \u0631\u0634\u062f \u0631\u0627 \u0627\u0632 \u062f\u0633\u062a \u0646\u062f\u0647!\r\n <\/p>\r\n\t\r\n\t

    \r\n \u062c\u0647\u062a \u067e\u06cc\u06af\u06cc\u0631\u06cc \u0633\u0641\u0627\u0631\u0634\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 09395106248<\/strong> \u06cc\u0627 \u0622\u06cc\u062f\u06cc \u062a\u0644\u06af\u0631\u0627\u0645\u06cc @ma_limbs<\/strong> \u062f\u0631 \u062a\u0645\u0627\u0633 \u0628\u0627\u0634\u06cc\u062f.\r\n <\/p>\r\n<\/div>\n

    \n

    \u062f\u0648\u0631\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0645\u062f\u0631\u0646: \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc Q \u0639\u0645\u06cc\u0642 (\u067e\u0627\u06cc\u200c\u062a\u0648\u0631\u0686 \u0648 TF2) \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB<\/h1>\n

    \u0628\u0647 \u062f\u0646\u06cc\u0627\u06cc \u0634\u06af\u0641\u062a\u200c\u0627\u0646\u06af\u06cc\u0632 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc (Reinforcement Learning) \u062e\u0648\u0634 \u0622\u0645\u062f\u06cc\u062f! \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc\u060c \u0634\u0627\u062e\u0647\u200c\u0627\u06cc \u067e\u06cc\u0634\u0631\u0648 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f (Agents) \u0645\u06cc\u200c\u0622\u0645\u0648\u0632\u062f \u0686\u06af\u0648\u0646\u0647 \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 (Environment) \u0628\u0631\u0627\u06cc \u0631\u0633\u06cc\u062f\u0646 \u0628\u0647 \u06cc\u06a9 \u0647\u062f\u0641 \u0645\u0634\u062e\u0635\u060c \u0628\u0647\u062a\u0631\u06cc\u0646 \u062a\u0635\u0645\u06cc\u0645\u0627\u062a \u0631\u0627 \u0627\u062a\u062e\u0627\u0630 \u06a9\u0646\u0646\u062f. \u0627\u0632 \u06a9\u0646\u062a\u0631\u0644 \u0631\u0628\u0627\u062a\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0648 \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u0632\u0646\u062c\u06cc\u0631\u0647\u200c\u0647\u0627\u06cc \u062a\u0623\u0645\u06cc\u0646 \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0633\u0627\u062e\u062a \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u0648\u06cc\u062f\u06cc\u0648\u06cc\u06cc\u060c \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0628\u06cc\u200c\u067e\u0627\u06cc\u0627\u0646\u06cc \u062f\u0627\u0631\u062f. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639\u060c \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u0642\u0644\u0628 \u06cc\u06a9\u06cc \u0627\u0632 \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u062a\u0631\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc\u060c \u06cc\u0639\u0646\u06cc \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc Q \u0639\u0645\u06cc\u0642 (Deep Q-Networks)\u060c \u0645\u06cc\u200c\u0628\u0631\u062f \u0648 \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc\u200c\u0622\u0645\u0648\u0632\u062f \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0648 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9 \u0645\u062d\u0628\u0648\u0628 PyTorch<\/span> \u0648 TensorFlow 2<\/span>\u060c \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0648 \u0645\u062f\u0631\u0646 \u0628\u0633\u0627\u0632\u06cc\u062f.<\/p>\n

    \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u0647 \u0635\u0648\u0631\u062a \u06a9\u0627\u0645\u0644 \u0628\u0631 \u0631\u0648\u06cc \u06cc\u06a9 \u0641\u0644\u0634 \u0645\u0645\u0648\u0631\u06cc \u06f3\u06f2 \u06af\u06cc\u06af\u0627\u0628\u0627\u06cc\u062a\u06cc<\/span> \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u06a9\u0647 \u062f\u0633\u062a\u0631\u0633\u06cc \u062f\u0627\u0626\u0645\u06cc \u0648 \u0628\u062f\u0648\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0627\u06cc\u0646\u062a\u0631\u0646\u062a \u0631\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n

    \u0686\u0647 \u0686\u06cc\u0632\u0647\u0627\u06cc\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0645\u0648\u062e\u062a\u061f<\/h2>\n
    \n

    \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0639\u0645\u06cc\u0642 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc\u060c \u0634\u0645\u0627 \u0631\u0627 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0628\u0646\u06cc\u0627\u062f\u06cc \u0648 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0627\u0631\u0632\u0634 (Value-Based) \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u06a9\u0646\u062f. \u067e\u0633 \u0627\u0632 \u0627\u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0634\u0645\u0627 \u0642\u0627\u062f\u0631 \u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0648\u062f:<\/p>\n

      \n
    • \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0635\u0644\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0645\u0627\u0646\u0646\u062f \u0639\u0627\u0645\u0644\u060c \u0645\u062d\u06cc\u0637\u060c \u062d\u0627\u0644\u062a\u060c \u0639\u0645\u0644\u060c \u067e\u0627\u062f\u0627\u0634 \u0648 \u0633\u06cc\u0627\u0633\u062a (Policy) \u0631\u0627 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0627\u0645\u0644 \u062f\u0631\u06a9 \u06a9\u0646\u06cc\u062f.<\/li>\n
    • \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u06a9\u0644\u0627\u0633\u06cc\u06a9 Q-Learning<\/span> \u0631\u0627 \u0627\u0632 \u067e\u0627\u06cc\u0647 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u0645\u062d\u062f\u0648\u062f\u06cc\u062a\u200c\u0647\u0627\u06cc \u0622\u0646 \u0631\u0627 \u0628\u0634\u0646\u0627\u0633\u06cc\u062f.<\/li>\n
    • \u0628\u0627 \u0642\u062f\u0631\u062a \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0639\u0645\u06cc\u0642 \u0622\u0634\u0646\u0627 \u0634\u062f\u0647 \u0648 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f \u0686\u06af\u0648\u0646\u0647 \u0622\u0646\u200c\u0647\u0627 \u0631\u0627 \u0628\u0627 Q-Learning \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc Q \u0639\u0645\u06cc\u0642 (DQN)<\/span> \u0631\u0627 \u0628\u0633\u0627\u0632\u06cc\u062f.<\/li>\n
    • \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0648 \u0645\u062f\u0631\u0646 \u0628\u0631\u0627\u06cc \u0628\u0647\u0628\u0648\u062f \u067e\u0627\u06cc\u062f\u0627\u0631\u06cc \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f DQN\u200c\u0647\u0627 \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0627\u0632 \u062c\u0645\u0644\u0647:\n
        \n
      • Double DQN:<\/strong> \u0631\u0648\u0634\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u062a\u062e\u0645\u06cc\u0646 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0645\u0642\u0627\u062f\u06cc\u0631 Q \u0648 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0642\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc.<\/li>\n
      • Dueling DQN:<\/strong> \u06cc\u06a9 \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u0646\u0648\u06cc\u0646 \u06a9\u0647 \u062a\u0648\u0627\u0628\u0639 \u0627\u0631\u0632\u0634 (Value) \u0648 \u0645\u0632\u06cc\u062a (Advantage) \u0631\u0627 \u0627\u0632 \u0647\u0645 \u062c\u062f\u0627 \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u06a9\u0627\u0631\u0622\u0645\u062f\u062a\u0631 \u0634\u0648\u062f.<\/li>\n
      • Prioritized Experience Replay:<\/strong> \u062a\u06a9\u0646\u06cc\u06a9\u06cc \u0647\u0648\u0634\u0645\u0646\u062f\u0627\u0646\u0647 \u0628\u0631\u0627\u06cc \u0646\u0645\u0648\u0646\u0647\u200c\u0628\u0631\u062f\u0627\u0631\u06cc \u0627\u0632 \u062a\u062c\u0631\u0628\u06cc\u0627\u062a \u0645\u0647\u0645\u200c\u062a\u0631 \u0639\u0627\u0645\u0644\u060c \u06a9\u0647 \u0633\u0631\u0639\u062a \u0647\u0645\u06af\u0631\u0627\u06cc\u06cc \u0631\u0627 \u0628\u0647 \u0634\u062f\u062a \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/li>\n
      • N-Step Returns:<\/strong> \u0631\u0648\u0634\u06cc \u0628\u0631\u0627\u06cc \u0645\u062a\u0639\u0627\u062f\u0644\u200c\u0633\u0627\u0632\u06cc \u0628\u06cc\u0646 \u0631\u0648\u0634\u200c\u0647\u0627\u06cc Monte Carlo \u0648 Temporal-Difference Learning \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631.<\/li>\n<\/ul>\n<\/li>\n
      • \u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0648\u0627\u0632\u06cc \u062f\u0631 \u062f\u0648 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9 \u0642\u062f\u0631\u062a\u0645\u0646\u062f PyTorch<\/span> \u0648 TensorFlow 2<\/span> \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0646\u06cc\u062f \u062a\u0627 \u0628\u0647 \u0647\u0631 \u062f\u0648 \u0645\u0633\u0644\u0637 \u0634\u0648\u06cc\u062f.<\/li>\n
      • \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f\u06cc \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u062f \u06a9\u0647 \u0642\u0627\u062f\u0631 \u0628\u0647 \u0628\u0627\u0632\u06cc \u06a9\u0631\u062f\u0646 \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0622\u062a\u0627\u0631\u06cc (Atari) \u062f\u0631 \u0633\u0637\u062d \u0627\u0628\u0631\u0627\u0646\u0633\u0627\u0646\u06cc \u0628\u0627\u0634\u0646\u062f.<\/li>\n<\/ul>\n<\/div>\n

        \u0633\u0627\u062e\u062a\u0627\u0631 \u0648 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062f\u0648\u0631\u0647<\/h2>\n
        \n

        \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0627 \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0633\u0627\u062e\u062a\u0627\u0631\u06cc\u0627\u0641\u062a\u0647 \u0648 \u06af\u0627\u0645\u200c\u0628\u0647\u200c\u06af\u0627\u0645 \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a \u062a\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0632 \u0633\u0627\u062f\u0647 \u0628\u0647 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u0631\u0627\u0626\u0647 \u0634\u0648\u0646\u062f. \u0647\u0631 \u0628\u062e\u0634 \u0634\u0627\u0645\u0644 \u0645\u0628\u0627\u062d\u062b \u062a\u0626\u0648\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646\u060c \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0648 \u06a9\u062f\u0646\u0648\u06cc\u0633\u06cc \u0627\u0633\u062a.<\/p>\n

          \n
        • \u0628\u062e\u0634 \u0627\u0648\u0644: \u0645\u0628\u0627\u0646\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0648 Q-Learning<\/strong>\n

          \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0633\u0627\u0633\u06cc RL \u0622\u0634\u0646\u0627 \u0645\u06cc\u200c\u0634\u0648\u06cc\u0645. \u0645\u0639\u0627\u062f\u0644\u0627\u062a \u0628\u0644\u0645\u0646 (Bellman) \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u06a9\u0631\u062f\u0647 \u0648 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Q-Learning \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062c\u062f\u0627\u0648\u0644 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u062a\u0627 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642\u06cc \u0627\u0632 \u0646\u062d\u0648\u0647 \u06a9\u0627\u0631 \u0622\u0646 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f.<\/li>\n

        • \u0628\u062e\u0634 \u062f\u0648\u0645: \u0648\u0631\u0648\u062f \u0628\u0647 \u062f\u0646\u06cc\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 – Deep Q-Networks (DQN)<\/strong>\n

          \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0631\u0627 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u062a\u0631\u06a9\u06cc\u0628 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. \u06cc\u0627\u062f \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u0645 \u06a9\u0647 \u0686\u0631\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u062a\u0642\u0631\u06cc\u0628 \u062a\u0627\u0628\u0639 Q \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a \u0648 \u0627\u0648\u0644\u06cc\u0646 \u0634\u0628\u06a9\u0647 DQN \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0645\u0633\u0627\u0626\u0644 \u067e\u06cc\u0686\u06cc\u062f\u0647\u200c\u062a\u0631 \u0645\u06cc\u200c\u0633\u0627\u0632\u06cc\u0645. \u0645\u0641\u0627\u0647\u06cc\u0645\u06cc \u0645\u0627\u0646\u0646\u062f Experience Replay \u0648 Target Networks \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\n

        • \u0628\u062e\u0634 \u0633\u0648\u0645: \u0628\u0647\u0628\u0648\u062f\u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc – Double DQN \u0648 Dueling DQN<\/strong>\n

          \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0628\u0647 \u062f\u0648 \u0645\u0648\u0631\u062f \u0627\u0632 \u0645\u0647\u0645\u200c\u062a\u0631\u06cc\u0646 \u067e\u06cc\u0634\u0631\u0641\u062a\u200c\u0647\u0627 \u062f\u0631 \u0645\u0639\u0645\u0627\u0631\u06cc DQN \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0627\u0631\u062f. \u0627\u0628\u062a\u062f\u0627 \u0628\u0627 \u0645\u0634\u06a9\u0644 \u062a\u062e\u0645\u06cc\u0646 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f (Overestimation Bias) \u062f\u0631 DQN \u0622\u0634\u0646\u0627 \u0634\u062f\u0647 \u0648 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Double DQN \u0631\u0627 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0622\u0646 \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. \u0633\u067e\u0633\u060c \u0645\u0639\u0645\u0627\u0631\u06cc Dueling DQN \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0624\u062b\u0631\u062a\u0631 \u062a\u0648\u0627\u0628\u0639 \u0627\u0631\u0632\u0634 \u0648 \u0645\u0632\u06cc\u062a \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/li>\n

        • \u0628\u062e\u0634 \u0686\u0647\u0627\u0631\u0645: \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647\u200c\u0633\u0627\u0632\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647<\/strong>\n

          \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634\u060c \u0628\u0647 \u0633\u0631\u0627\u063a \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0645\u062f\u0631\u0646\u200c\u062a\u0631\u06cc \u0645\u06cc\u200c\u0631\u0648\u06cc\u0645 \u06a9\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc \u0645\u0627 \u0631\u0627 \u0628\u0647 \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u062a\u0631\u06cc \u0645\u06cc\u200c\u0631\u0633\u0627\u0646\u0646\u062f. \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 Prioritized Experience Replay \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0645\u0631\u06a9\u0632 \u0628\u0631 \u0631\u0648\u06cc \u062a\u062c\u0631\u0628\u06cc\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u0648 N-Step Returns \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0633\u0631\u06cc\u0639 \u0641\u0631\u0622\u06cc\u0646\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645.<\/li>\n

        • \u0628\u062e\u0634 \u067e\u0646\u062c\u0645: \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0627\u0645\u0644 \u0628\u0627 PyTorch<\/strong>\n

          \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634 \u062c\u0627\u0645\u0639\u060c \u062a\u0645\u0627\u0645 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627 \u0648 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u062e\u062a\u0647\u200c\u0634\u062f\u0647 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0641\u0631\u06cc\u0645\u200c\u0648\u0631\u06a9 \u0645\u062d\u0628\u0648\u0628 PyTorch \u0627\u0632 \u0635\u0641\u0631 \u062a\u0627 \u0635\u062f \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0627\u06cc\u0646 \u0628\u062e\u0634 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc\u200c\u06a9\u0646\u062f \u062a\u0627 \u062a\u0633\u0644\u0637 \u06a9\u0627\u0645\u0644\u06cc \u0628\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u067e\u06cc\u062f\u0627 \u06a9\u0646\u06cc\u062f.<\/li>\n

        • \u0628\u062e\u0634 \u0634\u0634\u0645: \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u06a9\u0627\u0645\u0644 \u0628\u0627 TensorFlow 2<\/strong>\n

          \u0628\u0631\u0627\u06cc \u062a\u06a9\u0645\u06cc\u0644 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0634\u0645\u0627\u060c \u0647\u0645\u06cc\u0646 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627 \u0631\u0627 \u0627\u06cc\u0646 \u0628\u0627\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TensorFlow 2 \u0648 Keras \u067e\u06cc\u0627\u062f\u0647\u200c\u0633\u0627\u0632\u06cc \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645. \u0627\u06cc\u0646 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062f\u0648\u06af\u0627\u0646\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0646\u0639\u0637\u0627\u0641\u200c\u067e\u0630\u06cc\u0631\u06cc \u0641\u0648\u0642\u200c\u0627\u0644\u0639\u0627\u062f\u0647\u200c\u0627\u06cc \u062f\u0631 \u0628\u0627\u0632\u0627\u0631 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u062f\u0647\u062f.<\/li>\n

        • \u0628\u062e\u0634 \u0647\u0641\u062a\u0645: \u067e\u0631\u0648\u0698\u0647 \u0646\u0647\u0627\u06cc\u06cc – \u0622\u0645\u0648\u0632\u0634 \u0639\u0627\u0645\u0644 \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u0622\u062a\u0627\u0631\u06cc<\/strong>\n

          \u062f\u0631 \u067e\u0631\u0648\u0698\u0647 \u0646\u0647\u0627\u06cc\u06cc\u060c \u062a\u0645\u0627\u0645 \u062f\u0627\u0646\u0634 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u0645 \u062a\u0627 \u06cc\u06a9 \u0639\u0627\u0645\u0644 \u0647\u0648\u0634\u0645\u0646\u062f \u0628\u0633\u0627\u0632\u06cc\u0645 \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u06a9\u0644\u0627\u0633\u06cc\u06a9 \u0622\u062a\u0627\u0631\u06cc \u0645\u0627\u0646\u0646\u062f Breakout \u06cc\u0627 Space Invaders \u0631\u0627 \u0628\u0627 \u0639\u0645\u0644\u06a9\u0631\u062f\u06cc \u0641\u0631\u0627\u062a\u0631 \u0627\u0632 \u0627\u0646\u0633\u0627\u0646 \u0628\u0627\u0632\u06cc \u06a9\u0646\u062f.<\/li>\n<\/ul>\n<\/div>\n

          \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u0627\u0646\u06cc \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a\u061f<\/h2>\n
          \n

          \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0628\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n

            \n
          • \u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0648 \u067e\u0698\u0648\u0647\u0634\u06af\u0631\u0627\u0646 \u062d\u0648\u0632\u0647 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u0646\u062f \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0648 \u0639\u0645\u0644\u06cc \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u06a9\u0633\u0628 \u06a9\u0646\u0646\u062f.<\/li>\n
          • \u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631 \u06a9\u0647 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0648\u0631\u0648\u062f \u0628\u0647 \u062f\u0646\u06cc\u0627\u06cc AI \u0648 \u0633\u0627\u062e\u062a \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u0647\u0648\u0634\u0645\u0646\u062f \u0647\u0633\u062a\u0646\u062f.<\/li>\n
          • \u0645\u062a\u062e\u0635\u0635\u0627\u0646 \u062f\u0627\u062f\u0647 \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u0646\u062f \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0641\u0631\u0627\u062a\u0631 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a\u200c\u0634\u062f\u0647 \u0648 \u062e\u0648\u0634\u0647\u200c\u0628\u0646\u062f\u06cc \u06af\u0633\u062a\u0631\u0634 \u062f\u0647\u0646\u062f.<\/li>\n
          • \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f\u0627\u0646 \u0628\u0647 \u0637\u0631\u0627\u062d\u06cc \u0628\u0627\u0632\u06cc \u06a9\u0647 \u0642\u0635\u062f \u062f\u0627\u0631\u0646\u062f \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u0627\u06cc \u0628\u0631\u0627\u06cc \u0628\u0627\u0632\u06cc\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u0646\u062f.<\/li>\n<\/ul>\n<\/div>\n

            \u067e\u06cc\u0634\u200c\u0646\u06cc\u0627\u0632\u0647\u0627\u06cc \u062f\u0648\u0631\u0647<\/h2>\n
            \n

            \u0628\u0631\u0627\u06cc \u06a9\u0633\u0628 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0646\u062a\u06cc\u062c\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647\u060c \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0636\u0631\u0648\u0631\u06cc \u0627\u0633\u062a:<\/p>\n

              \n
            • \u062a\u0633\u0644\u0637 \u0628\u0631 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646<\/span> \u0648 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0634\u06cc\u0621\u06af\u0631\u0627\u06cc\u06cc (OOP).<\/li>\n
            • \u062f\u0631\u06a9 \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u0627\u06cc\u0647\u200c\u0627\u06cc \u062c\u0628\u0631 \u062e\u0637\u06cc (\u0628\u0631\u062f\u0627\u0631\u0647\u0627\u060c \u0645\u0627\u062a\u0631\u06cc\u0633\u200c\u0647\u0627) \u0648 \u062d\u0633\u0627\u0628 \u062f\u06cc\u0641\u0631\u0627\u0646\u0633\u06cc\u0644 (\u0645\u0634\u062a\u0642 \u0648 \u06af\u0631\u0627\u062f\u06cc\u0627\u0646).<\/li>\n
            • \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0635\u0644\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (\u0645\u0627\u0646\u0646\u062f \u0631\u06af\u0631\u0633\u06cc\u0648\u0646\u060c \u062a\u0627\u0628\u0639 \u0647\u0632\u06cc\u0646\u0647\u060c \u06af\u0631\u0627\u062f\u06cc\u0627\u0646 \u06a9\u0627\u0647\u0634\u06cc).<\/li>\n
            • \u062a\u062c\u0631\u0628\u0647 \u06a9\u0627\u0631 \u0628\u0627 \u062d\u062f\u0627\u0642\u0644 \u06cc\u06a9\u06cc \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc NumPy<\/span> \u06cc\u0627 Pandas<\/span>.<\/li>\n
            • \u062f\u0627\u0634\u062a\u0646 \u062a\u062c\u0631\u0628\u0647 \u0642\u0628\u0644\u06cc \u0628\u0627 PyTorch \u06cc\u0627 TensorFlow \u06cc\u06a9 \u0645\u0632\u06cc\u062a \u0645\u062d\u0633\u0648\u0628 \u0645\u06cc\u200c\u0634\u0648\u062f\u060c \u0627\u0645\u0627 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0632\u06cc\u0631\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0635\u0644\u06cc \u062f\u0631 \u062f\u0648\u0631\u0647 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\n<\/ul>\n<\/div>\n

              \u0686\u0631\u0627 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u06cc\u06a9 \u0633\u0631\u0645\u0627\u06cc\u0647\u200c\u06af\u0630\u0627\u0631\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0627\u0633\u062a\u061f<\/h2>\n
              \n

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              \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Udemy – Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2) 2020-10 – \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 […]<\/p>\n","protected":false},"featured_media":113382,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"product_cat":[1225],"product_tag":[65768,8031,107,52994,100496,19,100495,11096,100497,10810,86678,100498,1143,1128,54712,100494,49452,23466,1013,46684,3844,100493,68586,65765,261,10805,100492,267],"class_list":{"0":"post-118205","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-1225","7":"product_tag-32gb-flash-drive","8":"product_tag-ai-agents","9":"product_tag-artificial-intelligence","10":"product_tag-deep-neural-networks","11":"product_tag-deep-q-learning","12":"product_tag-machine-learning","13":"product_tag-modern-reinforcement-learning","14":"product_tag-pytorch","15":"product_tag-q-network","16":"product_tag-reinforcement-learning","17":"product_tag-reinforcement-learning-course","18":"product_tag-rl-agents","19":"product_tag-tensorflow-2","20":"product_tag-udemy-course","21":"product_tag-54712","22":"product_tag-100494","23":"product_tag-49452","24":"product_tag-23466","25":"product_tag-1013","26":"product_tag-46684","27":"product_tag-3844","28":"product_tag--q-","29":"product_tag-68586","30":"product_tag--32gb","31":"product_tag-261","32":"product_tag-10805","33":"product_tag-100492","34":"product_tag-267","35":"pmpro-has-access","36":"desktop-align-left","37":"tablet-align-left","38":"mobile-align-left","40":"first","41":"instock","42":"shipping-taxable","43":"purchasable","44":"product-type-variable"},"yoast_head":"\n\u062f\u0648\u0631\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc \u0645\u062f\u0631\u0646: \u0639\u0627\u0645\u0644\u200c\u0647\u0627\u06cc Q \u0639\u0645\u06cc\u0642 (\u067e\u0627\u06cc\u200c\u062a\u0648\u0631\u0686 \u0648 TF2) \u0628\u0631 \u0631\u0648\u06cc \u0641\u0644\u0634 32GB - 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