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20242026
most citedR3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

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cs.MA2026★ 1 cited

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

Harsh Goel, Mohammad Omama, Behdad Chalaki +3

Multi-agent reinforcement learning (MARL) has achieved significant progress in large-scale traffic control, autonomous vehicles, and robotics. Drawing inspiration from biological s…

cs.MA2024

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication

Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki +5

Multi-Agent Reinforcement Learning (MARL) methods have shown promise in enabling agents to learn a shared communication protocol from scratch and accomplish challenging team tasks.…