Jul 2026
Attention and Intrinsic Curiosity-Enhanced Deep Reinforcement Learning for Path Planning in Dynamic Environments
An end-to-end path planning framework built upon the Proximal Policy Optimization algorithm that achieves significant improvements in key metrics such as path success rate, travel time, and path efficiency compared to baseline methods like A*+DWA and standard DRL.
Shiquan Shen, Jiahao Liu, Zheng Chen et al.
· SAE technical paper series · 0 citations