Paper at RLC 2026: Dynamical Systems Perspective on MARL
mircomusolesi · x · 2026-08-17
The paper 'An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning' will be presented at RLC 2026. It models MARL training as a coupled stochastic dynamical system, capturing agent interactions and environmental dynamics. The research uses dynamical systems theory to analyze stability, sensitivity, and inherent stochasticity for safe deployment.
Related event: RLC 2026 Paper Applies Dynamical Systems Lens to Multi-Agent RL(2 posts)→
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