Shypd.aiThe largest open index of AI toolsrl-book provides source codes for the book "Reinforcement Learning: Theory and Python Implementation." It offers comprehensive Python implementations using TensorFlow 2 and PyTorch 1&2, covering various RL algorithms.
Trending
Also listed in
About
rl-book offers the complete source codes for the book "Reinforcement Learning: Theory and Python Implementation." This resource provides a tutorial approach to reinforcement learning, detailing both theoretical concepts and practical Python implementations. It features one-to-one mapping between theory and code, supporting TensorFlow 2 and PyTorch 1&2. The implementations cover a wide range of algorithms, from classic methods like SARSA and Q-Learning to modern deep reinforcement learning techniques such as PPO, DDPG, and SAC. All codes are designed for compatibility across Windows, Linux, and macOS, and can be run on a laptop without requiring a GPU for most examples. The project also includes supporting content like exercise answers and errata for both English and Chinese versions of the book.
Capabilities
Pricing & Plans
Likely Free
Free
FAQs
Trending
