{"total":12,"rows":[{"id":"2102.07817","title":"What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research","created":"2021-02-15","cited_by_count":119,"area":null},{"id":"2103.01035","title":"If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques","created":"2021-02-26","cited_by_count":82,"area":null},{"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":"2101.12446","title":"Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning","created":"2021-01-29","cited_by_count":39,"area":null},{"id":"2307.06333","title":"Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation","created":"2023-07-12","cited_by_count":16,"area":null},{"id":"2210.11846","title":"Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities","created":"2022-10-21","cited_by_count":13,"area":null},{"id":"2201.12462","title":"Explaining Reinforcement Learning Policies through Counterfactual Trajectories","created":"2022-01-29","cited_by_count":7,"area":null},{"id":"2303.04475","title":"RACCER: Towards Reachable and Certain Counterfactual Explanations for Reinforcement Learning","created":"2023-03-08","cited_by_count":6,"area":null},{"id":"2203.11211","title":"ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning","created":"2022-03-21","cited_by_count":4,"area":null},{"id":"2109.13978","title":"Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations","created":"2021-09-28","cited_by_count":2,"area":null},{"id":"2203.09114","title":"Causal Robot Communication Inspired by Observational Learning Insights","created":"2022-03-17","cited_by_count":1,"area":null},{"id":"2312.08724","title":"Personalized Path Recourse for Reinforcement Learning Agents","created":"2023-12-14","cited_by_count":0,"area":null}],"next_cursor":null}