中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共24条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning 会议论文
, 昆士兰, 2023-6
作者:  Li WF(李伟凡);  Zhu YH(朱圆恒);  Zhao DB(赵冬斌)
Adobe PDF(4104Kb)  |  收藏  |  浏览/下载：226/74  |  提交时间：2023/06/29
multi-agent  reinforcement learning  policy gradient  
Multi-Objective Neural Architecture Search for Light-Weight Model 会议论文
, Hangzhou, China, 22-24 November 2019
作者:  Nannan Li;  Yaran Chen;  Zixiang Ding;  Dongbin Zhao;  Zhonghua Pang;  Ruisheng Qin
Adobe PDF(430Kb)  |  收藏  |  浏览/下载：137/46  |  提交时间：2023/06/27
Neural architecture search  light-weight  multi-objective  reinforcement learning  image classification  
Lane change decision-making through deep reinforcement learning with rule-based constraints 会议论文
, Budapest, Hungary, 2019-7
作者:  Wang JJ(王俊杰);  Zhang QC(张启超);  Zhao DB(赵冬斌);  Chen YR(陈亚冉)
Adobe PDF(295Kb)  |  收藏  |  浏览/下载：118/35  |  提交时间：2023/05/30
Lane Change  Decision-making  Deep Reinforcement Learning  Deep Q-Network  
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat 期刊论文
IEEE Transactions on Systems, Man and Cybernetics: Systems, 2023, 页码: DOI: 10.1109/TSMC.2023.3270444
作者:  Jiajun Chai;  Wenzhang Chen;  Yuanheng Zhu;  Zong-xin Yao,;  Dongbin Zhao
Adobe PDF(9249Kb)  |  收藏  |  浏览/下载：225/113  |  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：248/52  |  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：204/52  |  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：177/42  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 12
作者:  Li, Weifan;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：288/51  |  提交时间：2021/12/28
Reinforcement learning  Missile guidance  Auxiliary learning  Self-imitation learning  
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：262/65  |  提交时间：2021/07/05
Rolling horizon evolution  opponent model  reinforcement learning  supervised learning  fighting game  
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning 会议论文
, Canberra, Australia, December 1-4
作者:  Zixiang Ding;  Yaran Chen;  Nannan Li;  Dongbin Zhao
收藏  |  浏览/下载：130/0  |  提交时间：2020/10/19