Yuda Song

PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided\n Exploration

2021 · arXiv (Cornell University)

Model-based Reinforcement Learning (RL) is a popular learning paradigm due to\nits potential sample efficiency compared to model-free RL. However, existing\nempirical model-based RL approaches lack the ability to explore. This work\nstudies a computationally and statistically efficient …