3 papers
cs.RO2024
Hierarchical Reinforcement Learning for Swarm Confrontation with High Uncertainty
Qizhen Wu, Kexin Liu, Lei Chen +1
In swarm robotics, confrontation including the pursuit-evasion game is a key scenario. High uncertainty caused by unknown opponents' strategies, dynamic obstacles, and insufficient…
cs.RO2023
Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
Qizhen Wu, Kexin Liu, Lei Chen +1
Traditional methods plan feasible paths for multiple agents in the stochastic environment. However, the methods' iterations with the changes in the environment result in computatio…
cs.LG2023
Model predictive control-based value estimation for efficient reinforcement learning
Qizhen Wu, Kexin Liu, Lei Chen
Reinforcement learning suffers from limitations in real practices primarily due to the number of required interactions with virtual environments. It results in a challenging proble…