Shypd.aiThe largest open index of AI toolsdrl-zh is an Open Source Research & Education tool that provides a hands-on deep reinforcement learning course. It covers foundations and advanced topics like AlphaZero and RLHF through Jupyter notebooks.
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drl-zh, or "Deep Reinforcement Learning: Zero to Hero!", offers a comprehensive and hands-on course designed to teach deep reinforcement learning. The curriculum is divided into two main parts: foundational concepts, where users build algorithms like DQN, SAC, and PPO from scratch, and advanced topics, which delve into areas such as curiosity-driven exploration, AlphaZero, and Reinforcement Learning with Human Feedback (RLHF). The course emphasizes learning by doing, with practical exercises ranging from playing Atari games and training robots to fine-tuning Language Models and implementing self-play with MCTS. It's structured around interactive Jupyter notebooks, providing guided TODO sections and complete solutions for reference. The entire experience is optimized for a VS Code environment, with a Dockerized setup for quick and reproducible development.
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Open Source
Free
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