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Deep Q-learning From Demonstrations., , , , , , , , , and 4 other author(s). AAAI, page 3223-3230. AAAI Press, (2018)Intrinsic Social Motivation via Causal Influence in Multi-Agent RL., , , , , , , and . CoRR, (2018)Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning., , , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3040-3049. PMLR, (2019)Learning to reinforcement learn, , , , , , , , and . (2016)cite arxiv:1611.05763Comment: 17 pages, 7 figures, 1 table.Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot., , , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6187-6199. PMLR, (2021)OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9733-9742. PMLR, (2020)Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games., , , , , and . AAMAS, page 538-547. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning., , , , , and . AAMAS, page 869-877. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors., , , and . AAMAS, page 1887-1888. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Modelling Cooperation in Network Games with Spatio-Temporal Complexity., , , , , , and . AAMAS, page 1455-1457. ACM, (2021)