2 citations · 2 across the 5 of their papers we have counts for
5 papers
Fast and Accurate Multi-Agent Trajectory Prediction For Crowded Unknown Scenes
Xiuye Tao, Huiping Li, Bin Liang +2
This paper studies the problem of multi-agent trajectory prediction in crowded unknown environments. A novel energy function optimization-based framework is proposed to generate pr…
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang, Huiping Li, Di Cui +1
Centralized training is widely utilized in the field of multi-agent reinforcement learning (MARL) to assure the stability of training process. Once a joint policy is obtained, it i…
Attention Loss Adjusted Prioritized Experience Replay
Zhuoying Chen, Huiping Li, Rizhong Wang
Prioritized Experience Replay (PER) is a technical means of deep reinforcement learning by selecting experience samples with more knowledge quantity to improve the training rate of…
Economic MPC-based planning for marine vehicles: Tuning safety and energy efficiency
Haojiao Liang, Huiping Li, Jian Gao +2
Energy efficiency and safety are two critical objectives for marine vehicles operating in environments with obstacles, and they generally conflict with each other. In this paper, w…
Receding Horizon Control Based Consensus Scheme in General Linear Multi-agent Systems
Huiping Li, Weisheng Yan
This paper investigates the consensus problem of general linear multi-agent systems under the framework of optimization. A novel distributed receding horizon control (RHC) strategy…