Model-based methods have recently been shown promising for offline reinforcement learning(RL),which aims at learning good policies from historical data without interacting with the environment.Previous model-based off...
funded by the Natural Science Basis Research Plan in Shaanxi Province of China(Program No.2023-JC-QN-0659);General Specialized Scientific Research Program of the Shaanxi Provincial Department of Education(Program 23JK0349).
Legged robots have always been a focal point of research for scholars domestically and internationally.Compared to other types of robots,quadruped robots exhibit superior balance and stability,enabling them to adapt e...
In this paper,a new study concerning the usage of artificial neural networks in the control application is given.It is shown,that the data gathered during proper operation of a given control plant can be used in the l...
supported by the National Key Research and Development Program of China(No.2024YFE0200600);the National Natural Science Foundation of China(No.62071425);the Zhejiang Key Research and Development Plan,China(No.2022C01093);the Zhejiang Provincial Natural Science Foundation of China(No.LR23F010005);the National Key Laboratory of Wireless Communications Foundation,China(No.2023KP01601);the Big Data and Intelligent Computing Key Lab of CQUPT,China(No.BDIC-2023-B-001)。
Optimizing the deployment of large language models(LLMs)in edge computing environments is critical for enhancing privacy and computational efficiency.In the path toward efficient wireless LLM inference in edge computi...
Fifth Electronic Research Institute of the Ministry of Industry and Information Technology(HK07202200877);Pre-research Project on Civil Aerospace Technologies of CNSA(D020101);Zhejiang Provincial Science and Technology Plan Project(2022C01052);Frontier Scientific Research Program of Deep Space Exploration Laboratory(2022-QYKYJHHXYF-018,2022-QYKYJH-GCXD-001);Zhiyuan Laboratory(ZYL2024001)。
Model-based system-of-systems(SOS)engineering(MBSoSE)is becoming a promising solution for the design of SoS with increasing complexity.However,bridging the models from the design phase to the simulation phase poses si...
Over the past twenty years,superconducting quantum computation has become one of the most promising candidates leading to fault-tolerant quantum computers.This is largely due to the huge experimental progress on impro...
University of Wisconsin-Madison's Center for Connected and Automated Transportation(CCAT),a part of the larger CCAT consortium,a USDOT Region 5 University Transportation Center funded by the U.S.Department of Transportation,Award#69A3552348305;The contents of this paper reflect the views of the authors,who are responsible for the facts and the accuracy of the data presented herein,and do not necessarily reflect the official views or policies of the sponsoring organization.
Model-based reinforcement learning(RL)is anticipated to exhibit higher sample efficiency than model-free RL by utilizing a virtual environment model.However,obtaining sufficiently accurate representations of environme...
The development process of complex equipment involves multi-stage business processes,multi-level product architecture,and multi-disciplinary physical processes.The relationship between its system model and various dis...
supported by the National Social Science Fund of China(No.22BTJ005);the Key Project of National Key Research and Development Plan(No.2023YFF1304002-05);supported by the National Natural Science Foundation of China(No.32001252);the International Center for Bamboo and Rattan(Nos.1632022024,1632020029,1632021024).
Remote sensing(RS)facilitates forest inventory across a wide range of variables required by the UNFCCC as well as by other agreements and processes.The Conventional model-based(CMB)estimator supports wall-to-wall RS d...
Research on automation and intelligent operation of tunnel boring machine(TBM)is receiving more and more attention,benefiting from the increasing construction data.However,most studies on TBM operations optimization w...