RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 19 lecture drafts, 5 tested exercises, citations that resolve.

n-armed bandit algorithms comparison + simulation app

Interactive RL learning platform: 13 chapters from Sutton & Barto, 18K+ lines, fill-in-the-blank exercises with bilingual explanations. Bandits → DP → MC → TD → Policy Gradient → DQN → PPO → SAC → MARL → RLHF

Fork of ShangtongZhang/reinforcement-learning-an-introduction - Python implementations of algorithms from Sutton and Barto's RL textbook (2nd Edition)

Reinforcement learning algorithms with mathematical derivations and Sutton & Barto figure reproductions.