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Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients.

, , , , , , , , , , and . AAMAS, page 492-501. International Foundation for Autonomous Agents and Multiagent Systems, (2020)

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Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms., and . NeurIPS, (2022)PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4062-4071. PMLR, (2018)Total stochastic gradient algorithms and applications in reinforcement learning.. NeurIPS, page 10225-10235. (2018)A unified view of likelihood ratio and reparameterization gradients., and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 4078-4086. PMLR, (2021)Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 27346-27377. PMLR, (2023)Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients., , , , , , , , , and 1 other author(s). AAMAS, page 492-501. International Foundation for Autonomous Agents and Multiagent Systems, (2020)