RLC 2026 Paper Applies Dynamical Systems Lens to Multi-Agent RL

A paper accepted at RLC 2026 integrates multi-agent reinforcement learning with dynamical systems theory, modeling MARL training as coupled stochastic dynamical systems to analyze the stability and safety of agent behaviors.

2026-08-17 ~ 2026-08-17 · 2 related posts

• Paper at RLC 2026: Dynamical Systems Perspective on MARL — mircomusolesi · 2026-08-17
• Using Dynamical Systems Theory for MARL Stability Analysis — mircomusolesi · 2026-08-17