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Scaling Opponent Shaping to High Dimensional Games., , , , , , , and . AAMAS, page 1001-1010. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Relational inductive biases, deep learning, and graph networks, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Generative Adversarial Equilibrium Solvers., , , , , , , and . CoRR, (2023)Visual Interaction Networks: Learning a Physics Simulator from Video., , , , , and . NIPS, page 4539-4547. (2017)Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers., , , , , and . NeurIPS, (2022)Learning to Play No-Press Diplomacy with Best Response Policy Iteration., , , , , , , , , and 3 other author(s). NeurIPS, (2020)Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem., , , , , , , , , and . CoRR, (2024)Teamwork Reinforcement Learning With Concave Utilities., , , , , and . IEEE Trans. Mob. Comput., 23 (5): 5709-5721 (May 2024)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)Should I Tear down This Wall? Optimizing Social Metrics by Evaluating Novel Actions., , , and . COIN(E)@AAMAS, volume 12298 of Lecture Notes in Computer Science, page 114-130. Springer, (2020)