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Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System.

, , and . ICPR, page 9234-9241. IEEE, (2020)

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To be Big Picture Thinker or Detail-Oriented?: Utilizing Perceived Gist Information to Achieve Efficient Convention Emergence with Bilateralism and Multilateralism., , , and . AAMAS, page 2021-2023. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Modeling Convention Emergence by Observation with Memorization., , and . PRICAI (1), volume 11670 of Lecture Notes in Computer Science, page 733-745. Springer, (2019)Formal Modeling of Reinforcement Learning with Many Agents through Repeated Local Interactions., , and . ICTAI, page 714-718. IEEE, (2021)Self-Play or Group Practice: Learning to Play Alternating Markov Game in Multi-Agent System., , and . ICPR, page 9234-9241. IEEE, (2020)Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach., , and . NeurIPS, page 12102-12112. (2019)Gist Trace-based Learning: Efficient Convention Emergence from Multilateral Interactions., , , and . ACM Trans. Auton. Adapt. Syst., 16 (1): 2:1-2:20 (2021)The Dynamics of Q-learning in Population Games: A Physics-inspired Continuity Equation Model., , , and . AAMAS, page 615-623. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)The Stochastic Evolutionary Dynamics of Softmax Policy Gradient in Games., , and . AAMAS, page 1101-1109. ACM, (2024)Learning Partner Selection Rules that Sustain Cooperation in Social Dilemmas with the Option of Opting Out., and . AAMAS, page 1110-1118. ACM, (2024)Modelling the Dynamics of Multi-Agent Q-learning: The Stochastic Effects of Local Interaction and Incomplete Information., , and . IJCAI, page 384-390. ijcai.org, (2022)