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Grounding English Commands to Reward Functions., , , , , , , , и . Robotics: Science and Systems, (2015)Satisficing Exploration for Deep Reinforcement Learning., , , и . CoRR, (2024)Deep Reinforcement Learning from Policy-Dependent Human Feedback., , , и . CoRR, (2019)A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions., , , , , , и . RoboNLP@ACL, стр. 67-75. Association for Computational Linguistics, (2017)Social Contract AI: Aligning AI Assistants with Implicit Group Norms., , , , , , , , и . CoRR, (2023)Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning., и . NeurIPS, (2022)Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction., и . NeurIPS, (2022)Deciding What to Learn: A Rate-Distortion Approach., и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 373-382. PMLR, (2021)Exploration Unbound., , и . CoRR, (2024)State Abstraction as Compression in Apprenticeship Learning., , , , , и . AAAI, стр. 3134-3142. AAAI Press, (2019)