Improved Model-based Reinforcement Learning with Smooth Kernels

Kun Long, Yuqiang Li, Xianyi Wu

For continuous state-action space scenarios, classical reinforcement learning (RL) theory predominantly focuses on low-rank Markov decision processes (MDPs), which provide sample-e…