Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning

Zakariae El Asri, Olivier Sigaud, Nicolas Thome

Applying reinforcement learning (RL) to real-world applications requires addressing a trade-off between asymptotic performance, sample efficiency, and inference time. In this work,…