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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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T. Rogalski

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Preprint Sep 2026

Fully Decentralized and Safety-Aware Multi-Agent Reinforcement Learning for Control on Networks

This paper develops a safe and fully decentralized multi-agent reinforcement learning (MARL) algorithm to solve a class of discrete-time control problems on networks, including the persistent monitoring problem. Fully decentralized control of agents, while offering numerous benefits, faces issues such as exponentially...

T. Rogalski, Shirantha Welikala · 0 citations

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