2022
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
ICML 2022spotlight
Continuous-time reinforcement learning offers an appealing formalism for describing control problems in which the passage of time is not naturally divided into discrete increments. Here we consider the problem of predicting the distribution of returns obtained by an agent interacting in a continuous…