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Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning.

, , , and . J. Artif. Intell. Res., (2021)

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Human-Machine Dialogue as a Stochastic Game., , , and . SIGDIAL Conference, page 2-11. The Association for Computer Linguistics, (2015)A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning., , , , , , , and . NIPS, page 4190-4203. (2017)Generalizing the Wilcoxon rank-sum test for interval data., , , and . Int. J. Approx. Reasoning, (2015)Learning Nash Equilibrium for General-Sum Markov Games from Batch Data., , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 232-241. PMLR, (2017)Re-evaluating evaluation., , , and . NeurIPS, page 3272-3283. (2018)Open-ended learning in symmetric zero-sum games., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 434-443. PMLR, (2019)A multi-agent reinforcement learning model of common-pool resource appropriation., , , , , and . NIPS, page 3643-3652. (2017)Bounds and dynamics for empirical game theoretic analysis., , , , , , , and . Autonomous Agents and Multi-Agent Systems, 34 (1): 7 (2020)Malthusian Reinforcement Learning., , , , , , , , and . AAMAS, page 1099-1107. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Actor-Critic Fictitious Play in Simultaneous Move Multistage Games., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 919-928. PMLR, (2018)