Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Deep Reinforcement Learning Hands-On: Apply modern RL
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Deep Reinforcement Learning Hands-On: Apply modern RL
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Deep Reinforcement Learning Hands-On: Apply modern RLの詳細情報
Deep Reinforcement Learning Hands-On: Apply modern RL。Deep Reinforcement Learning Hands-On: Apply modern RL。Frontiers | A parallel heterogeneous policy deep。
商品説明
【30日間返品保証】 Deep Reinforcement Learning Hands-On - Second Edition [Book] 商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。関東・関西・中部・中国・四国・九州地方は翌日お届け、東北地方・新潟県・北海道・沖縄県は翌々日にお届けします。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。 香港粤語[発音] 広東語入門教材 CD付 /白帝社/吉川雅之(言語学)(単行本)