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深層強化å¦ç¿’ライブラリChainerRL - Preferred Networks Research & Development
Chainerを使ã£ãŸæ·±å±¤å¼·åŒ–å¦ç¿’ライブラリChainerRLを公開ã—ã¾ã—ãŸï¼Ž https://github.com/pfnet/chainerrl PFNエンジニアã®è—¤ç”°ã§ã™ï¼Žç¤¾å†…ã§Chainerを使ã£ã¦å®Ÿè£…ã—ã¦ã„ãŸæ·±å±¤å¼·åŒ–å¦ç¿’アルゴリズムをâ€ChainerRLâ€ã¨ã„ã†ãƒ©ã‚¤ãƒ–ラリã¨ã—ã¦ã¾ã¨ã‚ã¦å…¬é–‹ã—ã¾ã—ãŸï¼ŽRLã¯Reinforcement Learning（強化å¦ç¿’）ã®ç•¥ã§ã™ï¼Žä»¥ä¸‹ã®ã‚ˆã†ãªæœ€è¿‘ã®æ·±å±¤å¼·åŒ–å¦ç¿’アルゴリズムを共通ã®ã‚¤ãƒ³ã‚¿ãƒ•ã‚§ãƒ¼ã‚¹ã§ä½¿ãˆã‚‹ã‚ˆã†å®Ÿè£…ã—ã¦ã¾ã¨ã‚ã¦ã„ã¾ã™ï¼Ž Deep Q-Network (Mnih et al., 2015) Double DQN (Hasselt et al., 2016) Normalized Advantage Function (Gu et al., 2016) (Persistent) Advantage Learning (Bellemar
インフラãƒãƒ¼ãƒ ã¨é–‹ç™ºãƒãƒ¼ãƒ ã®åž£æ ¹ã‚’ãªãã™ãŸã‚ã«AWSã®CI環境を構築ã—ãŸè©± - CARTA TECH BLOG
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Screenpresso - 最高ã®ã‚ャプãƒãƒ£ã‚½ãƒ•ãƒˆãŒã™ã手ã«å…¥ã‚‹
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