Zobrazeno 1 - 10
of 2 065
pro vyhledávání: '"Li, Huiping"'
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 prediction trajectories. Firstly, a new energy function is designed for
Externí odkaz:
http://arxiv.org/abs/2407.09068
Prioritized Experience Replay (PER) enables the model to learn more about relatively important samples by artificially changing their accessed frequencies. However, this non-uniform sampling method shifts the state-action distribution that is origina
Externí odkaz:
http://arxiv.org/abs/2311.14390
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 is critical to design a value function factorization method to extract
Externí odkaz:
http://arxiv.org/abs/2311.00356
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 neural network. However, the non-uniform sampling used in PER inevita
Externí odkaz:
http://arxiv.org/abs/2309.06684
Autor:
Zhou, Shaobo1 (AUTHOR) zhoushaobo@mail.nwpu.edu.cn, Li, Huiping1 (AUTHOR) lihuiping@nwpu.edu.cn, Wu, Tianyu1 (AUTHOR) 2016300502@mail.nwpu.edu.cn
Publikováno v:
Unmanned Systems. Oct2024, p1-10. 10p.
Autor:
Li, Huiping1,2 (AUTHOR) 13938115926@163.com, Li, Ding1,2 (AUTHOR) liding97@nudt.edu.cn, Lou, Qixin1,2 (AUTHOR) louqix@163.com, Liu, Chao1,2 (AUTHOR) liuchao0622@126.com, Lan, Tian1,2 (AUTHOR) a1476073873@163.com, Yu, Xudong1,2 (AUTHOR) yuxudong07@nudt.edu.cn
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6473. 20p.
The unaffordable computation load of nonlinear model predictive control (NMPC) has prevented it for being used in robots with high sampling rates for decades. This paper is concerned with the policy learning problem for nonlinear MPC with system cons
Externí odkaz:
http://arxiv.org/abs/2211.10075
Autor:
Hu, Meixin, Li, Jun, Deng, Jingxin, Liu, Chunxue, Liu, Yingying, Li, Huiping, Feng, Weijun, Xu, Xiu
Publikováno v:
In Molecular Therapy 6 November 2024 32(11):4095-4107