Deep reinforcement learning with optimized reward functions for robotic trajectory planning

J Xie, Z Shao, Y Li, Y Guan, J Tan - IEEE Access, 2019 - ieeexplore.ieee.org
To improve the efficiency of deep reinforcement learning (DRL)-based methods for robotic
trajectory planning in the unstructured working environment with obstacles. Different from …
被引用次数：77 相关文章

[引用][C] Deep Reinforcement Learning With Optimized Reward Functions for Robotic Trajectory Planning

J Xie, Z Shao, Y Li, Y Guan, J Tan - IEEE Access, 2019 - ui.adsabs.harvard.edu
Deep Reinforcement Learning With Optimized Reward Functions for Robotic Trajectory
Planning - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …