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Design and Modeling of an Integral Molding Flexible Tail for Robotic Fish 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 页码: 11
作者:  Tong, Ru;  Wu, Zhengxing;  Li, Sijie;  Chen, Di;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载:1/0  |  提交时间:2024/07/22
Data-driven modeling  flexibility optimization  integral molding flexible tail  predictive network  robotic fish  underwater robot  
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning 期刊
创刊日期: 2018,
主办者:  Liu BY(刘博寅)
Adobe PDF(5797Kb)  |  收藏  |  浏览/下载:23/5  |  提交时间:2024/07/12
Improved Self-Propelled Swarms Model with Enhanced Convergence Efficiency 会议论文
, Tianjing, China, 2020
作者:  Boyin Liu;  Zhiqiang Pu;  Shiguang Wu;  Lele Wang
Adobe PDF(210Kb)  |  收藏  |  浏览/下载:17/7  |  提交时间:2024/07/12
Learning to Play Football from Sports Perspective: A Knowledge-embedded Deep Reinforcement Learning Framework 期刊论文
IEEE Transactions on Games, 2022, 页码: 12
作者:  Liu BY(刘博寅)
Adobe PDF(2957Kb)  |  收藏  |  浏览/下载:29/6  |  提交时间:2024/07/12
QFuture: Learning Future Expectation Cognition in Multi-Agent Reinforcement Learning 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 12
作者:  Liu BY(刘博寅)
Adobe PDF(6675Kb)  |  收藏  |  浏览/下载:18/2  |  提交时间:2024/07/12
Offline Hierarchical Reinforcement Learning: Enable Large-Scale Training in HRL 会议论文
, Nanjing, 2023-11-27
作者:  Yuqiao Wu;  Haifeng Zhang;  Jun Wang
Adobe PDF(1339Kb)  |  收藏  |  浏览/下载:21/5  |  提交时间:2024/07/12
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing 会议论文
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, 2019-07
作者:  Zhang X(张翔);  He SZ(何世柱);  Liu K(刘康);  Zhao J(赵军)
Adobe PDF(400Kb)  |  收藏  |  浏览/下载:30/9  |  提交时间:2024/06/26
Online Optimization of Normalized CPGs for a Multi-Joint Robotic Fish 会议论文
, 中国,上海, 2021年7月
作者:  Tong R(仝茹);  Wu ZX(吴正兴);  Wang J(王健);  Tan M(谭民);  Yu JZ(喻俊志)
Adobe PDF(456Kb)  |  收藏  |  浏览/下载:29/16  |  提交时间:2024/06/26
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs 会议论文
, 澳大利亚, 2023-6
作者:  Zhang Qingyang;  Yang Yiming;  Ruan Jingqing;  Xiong Xuantang;  Xing Dengpeng;  Xu Bo
Adobe PDF(7948Kb)  |  收藏  |  浏览/下载:35/14  |  提交时间:2024/06/25
强化学习,分层强化学习  
Latent Landmark Graph for Efficient Exploration-Exploitation Balance in Hierarchical Reinforcement Learning 期刊论文
Machine Intelligence Research, 2023, 页码: 158
作者:  Zhang Qingyang;  Zhang Hongming;  Xing Dengpeng;  Bo Xu
Adobe PDF(9639Kb)  |  收藏  |  浏览/下载:20/9  |  提交时间:2024/06/25