MATES: Learning Multi-Agent Interactions by Transforming Observations for Frozen Single-Agent Policies

arXiv:2609.26010 · cs.MA, cs.RO, cs.SY, eess.SY · Submitted 2026-09-22 · Read on arXiv

cs.MA, cs.RO, cs.SY, eess.SY

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Adaptation — 18× in this paper · explained in 1 episode
• Actor — 17× in this paper · explained in 3 episodes
• Reinforcement Learning — 10× in this paper · explained in 4 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Parameter Efficiency — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Action Space — 3× in this paper · explained in 1 episode
• Agent Interactions — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Transfer Learning — 3× in this paper · explained in 10 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Imitation Learning (IL) — 1× in this paper · explained in 2 episodes
• MATES with Independent Proximal Policy Optimization — 1× in this paper
• Multi-Agent Observation Transformation for Existing Single-Agent Policies — 1× in this paper
• Multi-Agent Reinforcement Learning (MARL) — 1× in this paper · explained in 4 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes

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