Regime Structure in Adaptive Tariff Conflicts: A Multi-Agent Reinforcement Learning Analysis
Adaptive strategic conflicts unfold through repeated, history-dependent interactions that conventional equilibrium analysis captures only imperfectly. We present a multi-agent reinforcement learning (MARL) phase-diagram methodology that maps structural parameter spaces to stable outcome regimes and coordination-sensiti...