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A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:  Wai-Chung Kwan;  Hong-Ru Wang;  Hui-Min Wang;  Kam-Fai Wong
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process  
A Dynamic Resource Allocation Strategy with Reinforcement Learning for Multimodal Multi-objective Optimization 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 2, 页码: 138-152
作者:  Qian-Long Dang;  Wei Xu;  Yang-Fei Yuan
Adobe PDF(2376Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2024/04/23
Multimodal multi-objective optimization (MMO)  dynamic resource allocating strategy (DRAS)  reinforcement learning (RL)  decision space partition  zoning search  
A Hybrid Controller for Musculoskeletal Robots Targeting Lifting Tasks in Industrial Metaverse 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 12
作者:  Qin, Shijie;  Li, Houcheng;  Cheng, Long
收藏  |  浏览/下载：28/0  |  提交时间：2024/03/27
Adaptive dynamic programming (ADP)  brain-inspired method  muscle synergy  musculoskeletal system  reinforcement learning (RL)  tracking control  
Adaptive Optimal Output Regulation of Interconnected Singularly Perturbed Systems With Application to Power Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 595-607
作者:  Jianguo Zhao;  Chunyu Yang;  Weinan Gao;  Linna Zhou;  Xiaomin Liu
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：30/12  |  提交时间：2024/02/19
Adaptive optimal control  decentralized control  output regulation  reinforcement learning (RL)  singularly perturbed systems (SPSs)  
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis
Adobe PDF(1945Kb)  |  收藏  |  浏览/下载：237/179  |  提交时间：2024/01/02
Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)  
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893
作者:  Su, Shuai;  Zhu, Qingyang;  Liu, Junqing;  Tang, Tao;  Wei, Qinglai;  Cao, Yuan
收藏  |  浏览/下载：79/0  |  提交时间：2023/11/17
Deep reinforcement learning (RL)  driving strategy  energy-efficient train control (EETC)  soft actorcritic (SAC)  
Learning for Depth Control of a Robotic Penguin: A Data-Driven Model Predictive Control Approach 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 11, 页码: 11422-11432
作者:  Pan, Jie;  Zhang, Pengfei;  Wang, Jian;  Liu, Mingxin;  Yu, Junzhi
收藏  |  浏览/下载：32/0  |  提交时间：2023/11/17
Data-driven model predictive control (MPC)  depth control  motion control  reinforcement learning (RL)  robotic penguin  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
收藏  |  浏览/下载：41/0  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
An Optimal Control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2081-2093
作者:  Zhe Chen;  Ning Li
Adobe PDF(3366Kb)  |  收藏  |  浏览/下载：52/20  |  提交时间：2023/09/22
Distributed optimization  multi-agent  optimal control  reinforcement learning (RL)  
Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1704-1715
作者:  Syed Ali Asad Rizvi;  Amanda J. Pertzborn;  Zongli Lin
Adobe PDF(4532Kb)  |  收藏  |  浏览/下载：124/56  |  提交时间：2023/07/20
HVAC control  optimal tracking  Q-learning  reinforcement learning (RL)