Physics-informed approach for exploratory Hamilton--Jacobi--Bellman equations via policy iterations

Yeongjong Kim, Namkyeong Cho, Minseok Kim +1

We propose a mesh-free policy iteration framework based on physics-informed neural networks (PINNs) for solving entropy-regularized stochastic control problems. The method iterativ…