awesome-explainable-reinforcement-learning
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
https://github.com/Plankson/awesome-explainable-reinforcement-learning
Last synced: 13 days ago
JSON representation
-
📝 Surveys
-
Explainability in RL
-
Agent Model-Explaining
- [paper
- [paper
- [paper
- [paper
- [paper - reduction-of-imitation-learning-and)
- [paper
- [paper
- [paper
- [paper - 2303/PiRL)
- [paper
- [paper - Decision-Tree)
- [paper
- [paper
- [paper
- [paper
- [paper - /Conservative-Q-Improvement)
- [paper
- [paper - k/RRL)
- [paper
- [paper
- [paper - agent-neurosym-transformers)
- [paper
- [paper - symbolic-optimization)
- [paper - symbolic-optimization)
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - learning)
- [paper - state-explanations)
- [paper - group/xai-nav-under-uncertainty-neurips2021)
- [paper
- [paper
- [paper
- [paper - Causal-Reinforcement-Learning)
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper - k/RRL)
- [paper - /Conservative-Q-Improvement)
- [paper
- [paper
- [paper
- [paper - Causal-Reinforcement-Learning)
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
- [paper
-
Reward Explaining
-
State Explaining
- [paper
- [paper
- [paper - elements-for-explainable)
- [paper
- [paper
- [paper - couthouis/xai-in-rl)
- [paper
- [paper - Wrapper-Network-ICLR23)
- [paper - to-Interpret-Atari-Agents)
- [paper - goel/MOREL)
- [paper - and-understanding-atari-agents)
- [paper - randomized-input-sampling-for)
- [paper - attention/)
- [paper
- [paper - DQN)
- [paper
- [paper - KG)
- [paper
- [paper
- [paper
- [paper
- [paper - peng/HEX-RL)
- [paper - reinforcement-learning-lab/SVERL_icml_2023)
- [paper
- [paper
- [paper
- [paper - did-you-think-would-happen-explaining#code)
- [paper
- [paper - randomized-input-sampling-for)
- [paper - DQN)
- [paper - couthouis/xai-in-rl)
- [paper - elements-for-explainable)
- [paper
- [paper
- [paper - attention/)
- [paper - to-Interpret-Atari-Agents)
- [paper
-
Task Explaining
-
-
🤖️ Human knowledge for RL paradigm
-
Fuzzy Controller Representing Human Knowledge
-
Dense Reward on Human Command
-
Learn Mattered Features from Human Interactions
-
Subtask Scheduling with Human Annotation
-
-
Starchart
-
Subtask Scheduling with Human Annotation
- ![Star History Chart - history.com/#Plankson/awesome-explainable-reinforcement-learning&Date)
-