awesome-explainable-reinforcement-learning
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
https://github.com/Plankson/awesome-explainable-reinforcement-learning
Last synced: about 7 hours ago
JSON representation
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📝 Surveys
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Explainability in RL
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Agent Model-Explaining
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- [paper - reduction-of-imitation-learning-and)
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- [paper - 2303/PiRL)
- [paper - Decision-Tree)
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- [paper - agent-neurosym-transformers)
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- [paper - symbolic-optimization)
- [paper - symbolic-optimization)
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- [paper
- [paper
- [paper
- [paper - learning)
- [paper - state-explanations)
- [paper - group/xai-nav-under-uncertainty-neurips2021)
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- [paper - k/RRL)
- [paper - /Conservative-Q-Improvement)
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- [paper - Causal-Reinforcement-Learning)
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- [paper - symbolic-optimization)
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- [paper - 2303/PiRL)
- [paper - reduction-of-imitation-learning-and)
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- [paper - kobayashi/cocoa)
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Reward Explaining
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State Explaining
- [paper
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- [paper
- [paper - Wrapper-Network-ICLR23)
- [paper - goel/MOREL)
- [paper - and-understanding-atari-agents)
- [paper
- [paper - DQN)
- [paper - KG)
- [paper
- [paper
- [paper
- [paper
- [paper - peng/HEX-RL)
- [paper - reinforcement-learning-lab/SVERL_icml_2023)
- [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)
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- [paper
- [paper - of-self-interpretable-agents)
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- [paper
- [paper - and-understanding-atari-agents)
- [paper - umass/saliency_maps)
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- [paper
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Task Explaining
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🤖️ Human knowledge for RL paradigm
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Fuzzy Controller Representing Human Knowledge
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Learn Mattered Features from Human Interactions
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Subtask Scheduling with Human Annotation
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Dense Reward on Human Command
- [paper - learn)
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Starchart
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Subtask Scheduling with Human Annotation
- ![Star History Chart - history.com/#Plankson/awesome-explainable-reinforcement-learning&Date)
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🏠 Explainable AI Library
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Subtask Scheduling with Human Annotation
- InterpretML
- Aequitas
- Alibi Explain
- Captum
- DeepVis Toolbox - visualization-toolbox) |
- ELI5 - Memex/eli5) |
- IBM AI Explainability 360 - AI/AIX360) |
- iModels
- LIME
- OmniXAI
- SHAP
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Programming Languages
Categories
Sub Categories
Keywords
machine-learning
6
interpretability
4
explainable-ai
3
explainable-ml
3
scikit-learn
2
artificial-intelligence
2
data-science
2
explanation
2
xai
2
python
2
deep-learning
2
supervised-learning
1
statistics
1
rules
1
rulefit
1
rule-learning
1
optimal-classification-tree
1
ml
1
imodels
1
bayesian-rule-list
1
ai
1
interpretable-ml
1
interpretable-ai
1
feature-importance
1
feature-attribution
1
shapley
1
shap
1
gradient-boosting
1
explainability
1
interpretable-machine-learning
1
xgboost
1
nlp
1
lightgbm
1
inspection
1
crfsuite
1
trusted-ml
1
trusted-ai
1
ibm-research-ai
1
ibm-research
1
explainabil
1
codait
1
explanations
1
counterfactual
1
machine-bias
1
fairness-testing
1
fairness
1
bias
1