32 citations · 60 across the 4 of their papers we have counts for
4 papers
IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning
Wei Zhang, Yunfeng Zhang, Ning Liu +2
This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL). Although DRL exhibits h…
Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point-Based Approach
Wei Zhang, Ning Liu, Yunfeng Zhang
Deep reinforcement learning (DRL) demonstrates great potential in mapless navigation domain. However, such a navigation model is normally restricted to a fixed configuration of the…
Dimension-variable Mapless Navigation with Deep Reinforcement Learning
Wei Zhang, Yunfeng Zhang, Ning Liu +1
Deep reinforcement learning (DRL) has exhibited considerable promise in the training of control agents for mapless robot navigation. However, DRL-trained agents are limited to the…
Danger-aware Adaptive Composition of DRL Agents for Self-navigation
Wei Zhang, Yunfeng Zhang, Ning Liu
Self-navigation, referred as the capability of automatically reaching the goal while avoiding collisions with obstacles, is a fundamental skill required for mobile robots. Recently…