Deep Reinforcement Learning Hands-On PDF Github

Deep Reinforcement Learning Hands-On PDF Github
Deep Reinforcement Learning Hands-On PDF Github
eBook: Deep Reinforcement Learning Hands-On Free PDF: Apply Modern RL Methods, with Deep Q-networks, Value Iteration, Policy Gradients, TRPO, AlphaGo Zero and More by Maxim Lapan

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Understand the DL context of RL and implement complex DL models Learn the foundation of RL: Markov decision processes Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others Discover how to deal with discrete and continuous action spaces in various environments Defeat Atari arcade games using the value iteration method Create your own OpenAI Gym environment to train a stock trading agent Teach your agent to play Connect4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI-driven chatbots And More....

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July 27, 2021
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