2 papers
cs.RO2024
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…
cs.AI2023
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…