most citedA Software-Hardware Co-Optimized Toolkit for Deep Reinforcement Learning on Heterogeneous Platforms

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cs.LG2026

SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning

Nikunj Gupta, James Zachary Hare, Jesse Milzman +2

Cooperative multi-agent reinforcement learning agents that act on partial local observations face a fundamental information bottleneck: the knowledge needed to select jointly optim…

cs.LG2026

Do LLM-derived graph priors improve multi-agent coordination?

Nikunj Gupta, Rajgopal Kannan, Viktor Prasanna

Multi-agent reinforcement learning (MARL) is crucial for AI systems that operate collaboratively in distributed and adversarial settings, particularly in multi-domain operations (M…