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From Nash Equilibria to Chain Recurrent Sets: Solution Concepts and Topology., and . ITCS, page 227-235. ACM, (2016)Cycles in Adversarial Regularized Learning., , and . SODA, page 2703-2717. SIAM, (2018)Approximating Nash Equilibria in Tree Polymatrix Games., , and . SAGT, volume 9347 of Lecture Notes in Computer Science, page 285-296. Springer, (2015)Rethinking Blockchain Security: Position Paper., , , , , , , and . iThings/GreenCom/CPSCom/SmartData, page 1273-1280. IEEE, (2018)Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System., and . AAMAS, page 233-241. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Transaction Fees on a Honeymoon: Ethereum's EIP-1559 One Month Later., , , , , and . Blockchain, page 196-204. IEEE, (2021)Follow-the-Regularized-Leader Routes to Chaos in Routing Games., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 925-935. PMLR, (2021)Learning in Markets: Greed Leads to Chaos but Following the Price is Right., , and . IJCAI, page 111-117. ijcai.org, (2021)Robust Self-organization in Games: Symmetries, Conservation Laws and Dimensionality Reduction., , and . AAMAS, page 1946-1948. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Scalable Deep Reinforcement Learning Algorithms for Mean Field Games., , , , , , , , , and 1 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 12078-12095. PMLR, (2022)