Causal Reinforcement Learning - A Survey

Posted Apr 16, 2024

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1 min read

Abstract

Introduction

Background

Advancing Generalizability and Knowledge Transfer through Causal Reinforcement Learning

Addressing Spurious Correlations through Causal Reinforcement Learning

Enhancing Sample Efficiency through Causal Reinforcement Learning

Promoting Explainability, Fairness, and Safety with Causal Reinforcement Learning

Limitations and Future Directions

Conclusion

causal inference causal reinforcement learning

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