Ensemble-MIX: Enhancing Sample-Efficiency in Multi-Agent RL via Selective Ensemble-Based Exploration

arXiv:2506.02841 · eess.SY, cs.LG, cs.SY · Submitted 2025-06-03 · Read on arXiv

eess.SY, cs.LG, cs.SY

Submitted: 2025-06-03

Updated: 2026-10-13

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Actor — 2× in this paper · explained in 3 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Multi-Agent Reinforcement Learning (MARL) — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sample Efficiency — 1× in this paper · explained in 7 episodes

Sources

• UCB Exploration via Q-Ensembles
• A picture of the space of typical learnable tasks
• The StarCraft Multi-Agent Challenge

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