This project began as a reimplementation of MAPPO (Multi-Agent Proximal Policy Optimization) with a focus on clarity, documentation, and reproducibility. The development journey started with a simple ...
Abstract: This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were ...
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