22557e7132
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523 B
523 B
Explaining Reinforcement Learning: A Survey
- Authors: P. He, K. Y. K. Lui, et al.
- Year: 2023
- Summary: This survey provides a comprehensive overview of methods for explaining the policies of reinforcement learning (RL) agents. It categorizes techniques for explaining why an agent chose a particular action, what it is trying to achieve, and how its policy works. This is essential for understanding and trusting autonomous agents that learn from experience.
- Link: https://arxiv.org/abs/2305.15623