An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space

Hai Lin, Cheng Huang, Zhihong Chen

Reinforcement learning tasks in real-world scenarios often involve large, high-dimensional action spaces, leading to challenges such as convergence difficulties, instability, and h…