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Negotiating team formation using deep reinforcement learning., , , , , , , , and . Artif. Intell., (2020)Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering., , , and . CoRR, (2022)Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences., , , , , , , , , and . CoRR, (2020)Learning Robust Real-Time Cultural Transmission without Human Data., , , , , , , , , and 8 other author(s). CoRR, (2022)Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent., , , , , , , , and . AAMAS, page 507-515. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Learning Against Non-Stationary Agents with Opponent Modelling and Deep Reinforcement Learning., and . AAAI Spring Symposia, AAAI Press, (2018)Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus., , , and . KDD, page 1254-1262. ACM, (2018)Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria., , , , , , , , , and . CoRR, (2022)D3C: Reducing the Price of Anarchy in Multi-Agent Learning., , , , , , and . CoRR, (2020)Collaborating with Humans without Human Data., , , , and . NeurIPS, page 14502-14515. (2021)