Claire J. Tomlin

MBMF: Model-Based Priors for Model-Free Reinforcement Learning

2017 · arXiv (Cornell University)

Reinforcement Learning is divided in two main paradigms: model-free and model-based. Each of these two paradigms has strengths and limitations, and has been successfully applied to real world domains that are appropriate to its corresponding …