Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization

Marco Calì, Giulio Giacomuzzo, Ruggero Carli +1

This paper addresses the slow policy optimization convergence of Monte Carlo Probabilistic Inference for Learning Control (MC-PILCO), a state-of-the-art model-based reinforcement l…