Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning

NeurIPSSpotlight2025

Authors
Emile Timothy Anand, Ishani Karmarkar, Guannan Qu
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Designing efficient algorithms for multi-agent reinforcement learning (MARL) is fundamentally challenging because the size of the joint state and action spaces grows exponentially in the number of age…

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Topics

reinforcement learning efficient agent

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