Homotopy Based Reinforcement Learning with Maximum Entropy for Autonomous Air Combat

no code implementations • 1 Dec 2021 • Yiwen Zhu, Zhou Fang, Yuan Zheng, Wenya Wei

In this paper, we propose a homotopy-based soft actor-critic method (HSAC) which focuses on addressing these problems via following the homotopy path between the original task with sparse reward and the auxiliary task with artificial prior experience reward.

reinforcement-learning Reinforcement Learning (RL)