2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
ICML 2018oral
Recent work has shown that reinforcement learning (RL) is a promising approach to control dynamical systems described by partial differential equations (PDE). This paper shows how to use RL to tackle more general PDE control problems that have continuous high-dimensional action spaces with spatial r…