{"total":24,"rows":[{"id":"2103.11251","title":"Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges","created":"2021-03-20","cited_by_count":367,"area":null},{"id":"2207.14526","title":"Leveraging Explanations in Interactive Machine Learning: An Overview","created":"2022-07-29","cited_by_count":53,"area":null},{"id":"2109.09904","title":"Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems","created":"2021-09-21","cited_by_count":36,"area":null},{"id":"2112.03753","title":"Tell me why! Explanations support learning relational and causal structure","created":"2021-12-07","cited_by_count":36,"area":null},{"id":"2210.04561","title":"A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning","created":"2022-10-10","cited_by_count":25,"area":null},{"id":"2202.02886","title":"Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity","created":"2022-02-06","cited_by_count":22,"area":null},{"id":"2401.05302","title":"Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?","created":"2024-01-10","cited_by_count":22,"area":null},{"id":"2502.03369","title":"Learning from Active Human Involvement through Proxy Value Propagation","created":"2025-02-05","cited_by_count":19,"area":null},{"id":"2411.13410","title":"A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback","created":"2024-11-20","cited_by_count":9,"area":null},{"id":"2307.10524","title":"Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions","created":"2023-07-20","cited_by_count":8,"area":null},{"id":"2311.01454","title":"NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities","created":"2023-11-02","cited_by_count":8,"area":null},{"id":"2310.17786","title":"Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates","created":"2023-10-26","cited_by_count":7,"area":null},{"id":"2412.07207","title":"MAPLE: A Framework for Active Preference Learning Guided by Large Language Models","created":"2024-12-10","cited_by_count":6,"area":null},{"id":"2210.03455","title":"Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop","created":"2022-10-07","cited_by_count":5,"area":null},{"id":"2212.09667","title":"Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI","created":"2022-12-19","cited_by_count":5,"area":null},{"id":"2211.10861","title":"Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation","created":"2022-11-20","cited_by_count":4,"area":null},{"id":"2503.04969","title":"Data-Efficient Learning from Human Interventions for Mobile Robots","created":"2025-03-06","cited_by_count":4,"area":null},{"id":"2202.07138","title":"Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge","created":"2022-02-15","cited_by_count":3,"area":null},{"id":"2211.06665","title":"A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges","created":"2022-11-12","cited_by_count":3,"area":null},{"id":"2510.01545","title":"Predictive Preference Learning from Human Interventions","created":"2025-10-02","cited_by_count":3,"area":null},{"id":"2112.01575","title":"Towards Interactive Reinforcement Learning with Intrinsic Feedback","created":"2021-12-02","cited_by_count":2,"area":null},{"id":"2505.20671","title":"LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation","created":"2025-05-27","cited_by_count":2,"area":null},{"id":"2511.12100","title":"Did Models Learn Sufficiently? Attribution-Guided Training via Subset-Selected Counterfactual Augmentation","created":"2025-11-15","cited_by_count":1,"area":null},{"id":"2405.15804","title":"Explainable Human-AI Interaction: A Planning Perspective","created":"2024-05-19","cited_by_count":0,"area":null}],"next_cursor":null}