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Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning.

, , , , and . CoRR, (2021)

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SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving., , , , , , , , , and 22 other author(s). CoRL, volume 155 of Proceedings of Machine Learning Research, page 264-285. PMLR, (2020)Learning to Shape Rewards Using a Game of Two Partners., , , , , , , , , and 4 other author(s). AAAI, page 11604-11612. AAAI Press, (2023)What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator., , , , , , , , , and 2 other author(s). AAAI, page 8441-8449. AAAI Press, (2022)STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning., , , and . AAAI, page 17337-17345. AAAI Press, (2024)Is Nash Equilibrium Approximator Learnable?, , , , , , and . AAMAS, page 233-241. ACM, (2023)Modelling Behavioural Diversity for Learning in Open-Ended Games., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8514-8524. PMLR, (2021)Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing., , , , , and . NeurIPS, (2022)Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets., , , and . NeurIPS, (2020)Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning., , , and . NeurIPS, (2022)Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games., , , , , , , and . NeurIPS, page 941-952. (2021)