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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 9 of their papers we have counts for

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cs.MA2026

Bayesian Partner Modelling enables Adaptive Replanning for LLM Coordination

Harsh Goel, Aditya Sai Ellendula, Vaishnav Tadiparthi +3

Multi-agent Large Language Model (LLM) systems often struggle to collaborate with new teammates whose strategies shift mid-task. Because agents execute multi-step or temporally ext…

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…