no code implementations • 5 May 2024 • Xiangrui Zeng, Cheng Yin, Zhouping Yin
The ``prediction + optimal control'' scheme has shown good performance in many applications of automotive, traffic, robot, and building control.
1 code implementation • 11 Dec 2023 • Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones.
no code implementations • 7 Nov 2023 • Cheng Yin, Yi Chen
This paper introduces a novel operator, termed the Y operator, to elevate control performance in Actor-Critic(AC) based reinforcement learning for systems governed by stochastic differential equations(SDEs).
no code implementations • 6 Aug 2021 • Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin, Long D. Nguyen, Octavia A. Dobre, Trung Q. Duong
In this paper, we propose a deep reinforcement learning (DRL) approach for solving the optimisation problem of the network's sum-rate in device-to-device (D2D) communications supported by an intelligent reflecting surface (IRS).