Deterministic Policy Gradient for Reinforcement Learning with Continuous Time and State

Ziheng Cheng, Xin Guo, Yufei Zhang

The theory of continuous-time reinforcement learning (RL) has progressed rapidly in recent years. While the ultimate objective of RL is typically to learn deterministic control pol…