|
已选(0)清除
条数/页： 排序方式： |
| 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：28/9 | 提交时间：2024/07/12 |
| LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation 会议论文
, Singapore, 2023-12
作者: Zhitao He; Pengfei Cao; Yubo Chen; Kang Liu; Jun Zhao
 Adobe PDF(1153Kb) | 收藏 | 浏览/下载：25/7 | 提交时间：2024/06/25 |
| Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction 会议论文
, Greece, 2023-5
作者: Xu YF(徐一凡); Pu ZQ(蒲志强); Cai QA(蔡奇昂); Li FM(李非墨); Chai XH(柴兴华)
Adobe PDF(7610Kb) | 收藏 | 浏览/下载：31/13 | 提交时间：2024/06/21 |
| Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network 会议论文
, Toronto, Canada, 2023.07.09-2023.07.14
作者: Yao Xu; Shizhu HE; Li Cai; Kang Liu; Jun Zhao
Adobe PDF(628Kb) | 收藏 | 浏览/下载：41/13 | 提交时间：2024/06/20 |
| Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs 会议论文
, Singapore, 2023.11.06-2023.11.10
作者: Yao Xu; Shizhu HE; Cunguang Wang; Li Cai; Kang Liu; Jun Zhao
Adobe PDF(811Kb) | 收藏 | 浏览/下载：41/15 | 提交时间：2024/06/20 |
| Filtered Observations for Model-Based Multi-agent Reinforcement Learning 会议论文
, Turin, Italy, 2023.9.18-2023.9.22
作者: Meng Linghui; Xiong Xuantang; Zang Yifan; Zhang Xi; Li Guoqi; Xing Dengpeng; Xu Bo
Adobe PDF(841Kb) | 收藏 | 浏览/下载：53/20 | 提交时间：2024/06/11 |
| Interpreting Sentiment Composition with Latent Semantic Tree 会议论文
, Toronto, Canada, 2023-7-9
作者: Zhongtao Jiang; Yuanzhe Zhang; Cao Liu; Jiansong Chen; Jun Zhao; Kang Liu
Adobe PDF(509Kb) | 收藏 | 浏览/下载：51/21 | 提交时间：2024/06/06 |
| Learning Superior Cooperative Policy in Competitive Multi-team Reinforcement Learning 会议论文
, Gold Coast, Australia, 2023-6
作者: Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan
Adobe PDF(25675Kb) | 收藏 | 浏览/下载：50/13 | 提交时间：2024/06/05 |
| Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language. 会议论文
, 北京华腾美居酒店, 2023-12-9
作者: Zhourui Guo; Meng Yao; Yang Yu; Qiyue Yin
Adobe PDF(2302Kb) | 收藏 | 浏览/下载：49/16 | 提交时间：2024/06/03 |
| Advancing Air Combat Tactics with Improved Neural Fictitious Self-Play Reinforcement Learning 会议论文
Advanced Intelligent Computing Technology and Applications, 中国郑州, 2023-8
作者: He SQ(何少钦); Gao Y(高阳); Zhang BF(张保丰); Chang H(常惠); Zhang XC(张鑫辰)
Adobe PDF(1496Kb) | 收藏 | 浏览/下载：68/23 | 提交时间：2024/05/31
Air Combat, Reinforcement Learning, Neural Fictitious Self-Play. |
