2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
NeurIPS 2020poster
We present two elegant solutions for modeling continuous-time dynamics, in a novel model-based reinforcement learning (RL) framework for semi-Markov decision processes (SMDPs), using neural ordinary differential equations (ODEs). Our models accurately characterize continuous-time dynamics and enable…