newsHacker NewsTrust 52 · CommunityPublished 1mo agoLive · 1mo ago
The Little Book of Reinforcement Learning
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 59%pytorch/rl →
- PossiblePossibly related (embedding) · 52%hscspring/rl-llm-nlp →
- PossiblePossibly related (embedding) · 51%Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum →
- PossiblePossibly related (embedding) · 49%rllm-org/rllm →
- PossiblePossibly related (embedding) · 48%Generalization in offline RL: The structure is more important than the amount of pessimism →
- PossiblePossibly related (embedding) · 62%MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning →
- PossiblePossibly related (embedding) · 52%lubludrova/rl-handbook →
- PossiblePossibly related (embedding) · 56%DLR-RM/stable-baselines3 →
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Related across the graph
repopytorch/rlpaperGeneralization in offline RL: The structure is more important than the amount of pessimismrepoDLR-RM/stable-baselines3repohscspring/rl-llm-nlpreporllm-org/rllmpaperLyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulumrepolubludrova/rl-handbookrepoMathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning
