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Multi-Agent Common Knowledge Reinforcement Learning., , , , , and . NeurIPS, page 9924-9935. (2019)Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning., , and . NeurIPS, page 8149-8160. (2019)Grounding Aleatoric Uncertainty for Unsupervised Environment Design., , , , , , , and . NeurIPS, (2022)Replay-Guided Adversarial Environment Design., , , , , and . NeurIPS, page 1884-1897. (2021)JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading., , , , , , , and . ICAIF, page 583-591. ACM, (2023)A New Formalism, Method and Open Issues for Zero-Shot Coordination., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10413-10423. PMLR, (2021)Generalized Beliefs for Cooperative AI., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 16062-16082. PMLR, (2022)Centralized Model and Exploration Policy for Multi-Agent RL., , , and . AAMAS, page 1500-1508. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Learning with Opponent-Learning Awareness., , , , , and . AAMAS, page 122-130. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Model-Free Opponent Shaping., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14398-14411. PMLR, (2022)