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Solving Common-Payoff Games with Approximate Policy Iteration., , , , , , , , and . AAAI, page 9695-9703. AAAI Press, (2021)Approximate Exploitability: Learning a Best Response., , , , , , , , and . IJCAI, page 3487-3493. ijcai.org, (2022)Deep reinforcement learning with relational inductive biases., , , , , , , , , and 6 other author(s). ICLR (Poster), OpenReview.net, (2019)Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent., , , , , , and . IJCAI, page 464-470. ijcai.org, (2019)Fast computation of Nash Equilibria in Imperfect Information Games., , , , , , , , , and 3 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 7119-7129. PMLR, (2020)Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model, , , , , , , , , and 2 other author(s). (2019)cite arxiv:1911.08265.Human-Agent Cooperation in Bridge Bidding., , , , , , and . CoRR, (2020)