MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

Aravind Venugopal, Stephanie Milani, Fei Fang 0001, Balaraman Ravindran. MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. In Mehdi Dastani, Jaime Simão Sichman, Natasha Alechina, Virginia Dignum, editors, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024. pages 1865-1873, ACM, 2024. [doi]

Abstract

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