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The Complexity of Gradient Descent: CLS = PPAD ∩ PLS., , , and . CoRR, (2020)A data rich money market model - agent-based modelling for financial stability., and . SIMULTECH, page 231-236. IEEE, (2014)Polylogarithmic Supports Are Required for Approximate Well-Supported Nash Equilibria below 2/3., , , and . WINE, volume 8289 of Lecture Notes in Computer Science, page 15-23. Springer, (2013)Trading via selective classification., and . ICAIF, page 14:1-14:9. ACM, (2021)Tree Polymatrix Games Are PPAD-Hard., , and . ICALP, volume 168 of LIPIcs, page 38:1-38:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Unique End of Potential Line., , , and . ICALP, volume 132 of LIPIcs, page 56:1-56:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Mbt-gym: Reinforcement learning for model-based limit order book trading., , , and . ICAIF, page 619-627. ACM, (2023)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)Cooperative max games and agent failures., , and . AAMAS, page 29-36. IFAAMAS/ACM, (2014)Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning., , , and . Auton. Agents Multi Agent Syst., 35 (2): 25 (2021)