An Empirical Study of Deep Reinforcement Learning in Continuing Tasks

Yi Wan, Dmytro Korenkevych, Zheqing Zhu

In reinforcement learning (RL), continuing tasks refer to tasks where the agent-environment interaction is ongoing and can not be broken down into episodes. These tasks are suitabl…