CASIA OpenIR

浏览/检索结果: 共7条,第1-7条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Hierarchical Cooperative Swarm Policy Learning with Role Emergence 会议论文
, Online, 05-07 December 2021
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Pu ZQ(蒲志强);  Qiu TH(丘腾海);  Yi JQ(易建强)
Adobe PDF(327Kb)  |  收藏  |  浏览/下载:160/68  |  提交时间:2023/06/12
Semantic Perception Swarm Policy with Deep Reinforcement Learning 会议论文
, Online, 05 December 2021
作者:  Zhang TL(张天乐);  Liu Z(刘振);  Pu ZQ(蒲志强);  Yi JQ(易建强)
Adobe PDF(523Kb)  |  收藏  |  浏览/下载:138/54  |  提交时间:2023/06/12
Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments 会议论文
, 线上会议, 2021-9
作者:  Wu Shiguang;  Qiu Tenghai;  Pu Zhiqiang;  Yi Jianqiang
Adobe PDF(1396Kb)  |  收藏  |  浏览/下载:273/80  |  提交时间:2022/06/16
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction 会议论文
, Bratislava, Slovakia, 2021-09
作者:  Haoda Qian;  Qiudan Li;  Zaichuan Tang
Adobe PDF(79001Kb)  |  收藏  |  浏览/下载:366/127  |  提交时间:2022/06/14
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;  Sun, Kewu;  Ding, Jishiyu
Adobe PDF(3402Kb)  |  收藏  |  浏览/下载:289/37  |  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  
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Hu, Guangzheng;  Zhu, Yuanheng;  Zhao, Dongbin;  Zhao, Mengchen;  Hao, Jianye
Adobe PDF(4187Kb)  |  收藏  |  浏览/下载:261/12  |  提交时间:2022/01/27
Bandwidth  Protocols  Reinforcement learning  Task analysis  Optimization  Communication networks  Multi-agent systems  Event trigger  limited bandwidth  multi-agent communication  multi-agent reinforcement learning (MARL)  
多智能体博弈对抗的协同行为自学习算法与应用 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2021
作者:  董宗宽
Adobe PDF(4970Kb)  |  收藏  |  浏览/下载:351/14  |  提交时间:2021/06/20
多智能体深度强化学习  协同行为学习  语言几何学  可解释性  Z学习