CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共17条,第1-10条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
Adaptive Multi-Agent Coordination among Different Team Attribute Tasks via Contextual Meta-Reinforcement Learning 会议论文
, 河南开封, 2024年5月17-19日
作者:  Huang, Shangjing;  Zhao, Zijie;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(15515Kb)  |  收藏  |  浏览/下载:15/6  |  提交时间:2024/06/26
User Response Modeling in Reinforcement Learning for Ads Allocation 会议论文
, 新加坡, May 13 - 17, 2024
作者:  Zhang, Zhiyuan;  Zhang, Qichao;  Wu, Xiaoxu;  Shi, Xiaowen;  Liao, Guogang;  Wang, Yongkong;  Wang, xingxing;  Zhao, Dongbin
Adobe PDF(2077Kb)  |  收藏  |  浏览/下载:21/8  |  提交时间:2024/06/25
Ads Allocation  Reinforcement Learning  User Response Modeling  
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1-12
作者:  Boyu Li;  Haran Li;  Yuanheng Zhu;  Dongbin Zhao
Adobe PDF(9953Kb)  |  收藏  |  浏览/下载:20/7  |  提交时间:2024/06/05
Deep Reinforcement Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1 - 16
作者:  Liu, Yuqi;  Zhang, Qichao;  Gao, Yinfeng;  Zhao, Dongbin
Adobe PDF(22863Kb)  |  收藏  |  浏览/下载:30/8  |  提交时间:2024/06/03
Reinforcement Learning  Autonomous Driving  Intersection Navigating  
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
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载:61/3  |  提交时间:2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
Vision-based control in the open racing car simulator with deep and reinforcement learning 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 页码: doi={10.1007/s12652-019-01503-y}
作者:  Yuanheng Zhu;  Dongbin Zhao
Adobe PDF(2210Kb)  |  收藏  |  浏览/下载:61/15  |  提交时间:2023/04/26
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:  Chen, Yaran;  Li, Haoran;  Gao, Ruiyuan;  Zhao, Dongbin
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载:289/67  |  提交时间:2022/03/17
3-D object detection  generalized Intersection of Union (GIoU) loss  segmentation  
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search 期刊论文
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Zixiang, Ding;  Yaran, Chen;  Nannan, Li;  Dongbin, Zhao
Adobe PDF(7657Kb)  |  收藏  |  浏览/下载:221/57  |  提交时间:2022/01/07
Broad neural architecture search (BNAS), continuous relaxation, confident learning rate, partial channel connections, image classification.  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载:197/46  |  提交时间:2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition 期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 5, 期号: 1, 页码: 5 - 15
作者:  Zhentao Tang;  Yuanheng Zhu;  Dongbin Zhao;  Simon M. Lucas
Adobe PDF(7686Kb)  |  收藏  |  浏览/下载:337/70  |  提交时间:2021/07/05
Rolling horizon evolution  opponent model  reinforcement learning  supervised learning  fighting game