Shypd.aiThe largest open index of AI toolsHands-On-Reinforcement-Learning-With-Python is a Research & Education tool that helps users master reinforcement and deep reinforcement learning. It provides extensive math and practical examples using OpenAI Gym and TensorFlow.
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Hands-On-Reinforcement-Learning-With-Python is a comprehensive resource designed to help individuals master both basic and advanced reinforcement learning algorithms, including deep reinforcement learning. The resource begins with an introduction to Reinforcement Learning, followed by practical guidance on using OpenAI Gym and TensorFlow. It delves into various RL algorithms and concepts such as Markov Decision Processes, Monte-Carlo methods, and dynamic programming, covering value and policy iteration. The guide also introduces deep learning fundamentals and explores deep reinforcement learning in depth, combining deep learning with reinforcement learning. Users will learn about algorithms like DQN, Double DQN, Dueling DQN, DRQN, A3C, DDPG, TRPO, and PPO, along with recent advancements in the field.
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