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cs.MA2025
An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
James Rudd-Jones, María Pérez-Ortiz, Mirco Musolesi
Analysing learning in Multi-Agent Reinforcement Learning (MARL) environments is challenging, in particular with respect to \textit{individual} decision-making. Practitioners freque…
cs.MA2025
Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
James Rudd-Jones, Mirco Musolesi, María Pérez-Ortiz
Climate policy development faces significant challenges due to deep uncertainty, complex system dynamics, and competing stakeholder interests. Climate simulation methods, such as E…