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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15 作者:  Li, Kai;  Xu, Hang;  Zhao, Enmin;  Wu, Zhe;  Xing, Junliang 收藏  |  浏览/下载：2/0  |  提交时间：2023/11/17 Artificial intelligence (AI)  benchmark  imperfect-information game  Nash equilibrium  no-limit Texas hold'em (NLTH)   Metabolic detection and systems analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics, and multi-omics 期刊论文 SCIENCE ADVANCES, 2021, 卷号: 7, 期号: 52, 页码: 13 作者:  Wang, Guangxi;  Yao, Hantao;  Gong, Yan;  Lu, Zipeng;  Pang, Ruifang 收藏  |  浏览/下载：27/0  |  提交时间：2022/03/17 UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12 作者:  Chai, Jiajun;  Li, Weifan;  Zhu, Yuanheng;  Zhao, Dongbin;  Ma, Zhe 收藏  |  浏览/下载：33/0  |  提交时间：2022/01/27 Multi-agent systems  Training  Task analysis  Reinforcement learning  Sun  Learning systems  Semantics  Centralized training with decentralized execution (CTDE)  multiagent  reinforcement learning  StarCraft II   Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation 会议论文 中国澳门, 2019-8 作者:  Li QZ(李乔哲);  Zhao X(赵鑫);  He R(赫然);  Huang KQ(黄凯奇) 收藏  |  浏览/下载：77/0  |  提交时间：2020/01/14 Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition 会议论文 夏威夷，美国, 2019-1-27 作者:  Li QZ(李乔哲);  Zhao X(赵鑫);  He R(赫然);  Huang KQ(黄凯奇) 收藏  |  浏览/下载：54/0  |  提交时间：2020/01/14 Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文 IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: Early Access, 页码: 1 - 1 作者:  Li QZ(李乔哲);  Zhao X(赵鑫);  He R(赫然);  Huang KQ(黄凯奇) 收藏  |  浏览/下载：58/0  |  提交时间：2020/01/14 Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification