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Recourse for Reclamation: Chatting with Generative Language Models.

, , , and . CHI Extended Abstracts, page 280:1-280:14. ACM, (2024)

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D3C: Reducing the Price of Anarchy in Multi-Agent Learning., , , , , , and . CoRR, (2020)Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria., , , , , , , , , and . CoRR, (2022)Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning., , , , , and . AAMAS, page 869-877. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Collaborating with Humans without Human Data., , , , and . NeurIPS, page 14502-14515. (2021)Human participants in AI research: Ethics and transparency in practice.. CoRR, (2023)Quantifying environment and population diversity in multi-agent reinforcement learning., , , and . CoRR, (2021)Open Problems in Cooperative AI., , , , , , , and . CoRR, (2020)Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games., , , , , , , , , and . AAMAS, page 2445-2447. ACM, (2023)D3C: Reducing the Price of Anarchy in Multi-Agent Learning., , , , , , and . AAMAS, page 498-506. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Relational inductive bias for physical construction in humans and machines., , , , , , and . CogSci, cognitivesciencesociety.org, (2018)