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eess.SY2024
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
Georg Schäfer, Jakob Rehrl, Stefan Huber +1
This study conducts a comparative analysis of Model Predictive Control (MPC) and Proximal Policy Optimization (PPO), a Deep Reinforcement Learning (DRL) algorithm, applied to a 1-D…
cs.LG2024
Python-Based Reinforcement Learning on Simulink Models
Georg Schäfer, Max Schirl, Jakob Rehrl +2
This paper proposes a framework for training Reinforcement Learning agents using Python in conjunction with Simulink models. Leveraging Python's superior customization options and…