Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
NeurIPSSpotlight2025
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…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
reinforcement learning efficient agent
← All NeurIPS 2025 Spotlight papers · Browse the whole archive