{"total":11,"rows":[{"id":"2310.16410","title":"Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero","created":"2023-10-25","cited_by_count":42,"area":null},{"id":"2209.08025","title":"Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability","created":"2022-09-16","cited_by_count":36,"area":null},{"id":"2202.08434","title":"A Survey of Explainable Reinforcement Learning","created":"2022-02-17","cited_by_count":31,"area":null},{"id":"2203.15955","title":"Investigating the Properties of Neural Network Representations in Reinforcement Learning","created":"2022-03-30","cited_by_count":24,"area":null},{"id":"2201.12462","title":"Explaining Reinforcement Learning Policies through Counterfactual Trajectories","created":"2022-01-29","cited_by_count":7,"area":null},{"id":"2210.13611","title":"Understanding the Evolution of Linear Regions in Deep Reinforcement Learning","created":"2022-10-24","cited_by_count":7,"area":null},{"id":"2211.01498","title":"On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach","created":"2022-11-02","cited_by_count":7,"area":null},{"id":"2202.03597","title":"Local Explanations for Reinforcement Learning","created":"2022-02-08","cited_by_count":5,"area":null},{"id":"2211.12930","title":"Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios","created":"2022-11-23","cited_by_count":0,"area":null},{"id":"2301.09941","title":"ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents","created":"2023-01-24","cited_by_count":0,"area":null},{"id":"2306.13879","title":"Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query","created":"2023-06-24","cited_by_count":0,"area":null}],"next_cursor":null}