CASIA OpenIR

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Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs 会议论文
, 澳大利亚, 2023-6
作者:  Zhang Qingyang;  Yang Yiming;  Ruan Jingqing;  Xiong Xuantang;  Xing Dengpeng;  Xu Bo
Adobe PDF(7948Kb)  |  收藏  |  浏览/下载:7/4  |  提交时间:2024/06/25
强化学习,分层强化学习  
Multi-objective Deep Reinforcement Learning for Mobile Edge Computing 会议论文
, Singapore, 2023/8/24-27
作者:  Yang,Ning;  Wen,Junrui;  Zhang,Meng;  Tang,Ming
Adobe PDF(499Kb)  |  收藏  |  浏览/下载:32/12  |  提交时间:2024/06/05
mobile edge computing  multi-objective reinforcement learning  resource scheduling  
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning 会议论文
, Washington, DC, USA, February 7-14, 2023
作者:  Zhiwei Xu;  Bin Zhang;  Dapeng Li;  Zeren Zhang;  Guangchong Zhou;  Hao Chen;  Guoliang Fan
Adobe PDF(4141Kb)  |  收藏  |  浏览/下载:24/8  |  提交时间:2024/05/28
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism 会议论文
, Washington, DC, USA, February 7-14, 2023
作者:  Zhiwei Xu;  Yunpeng Bai;  Bin Zhang;  Dapeng Li;  Guoliang Fan
Adobe PDF(3345Kb)  |  收藏  |  浏览/下载:21/5  |  提交时间:2024/05/28
A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and causal Relationship 会议论文
, New Orleans, 2023-12
作者:  Shiyu, Hu;  Dailing, Zhang;  Meiqi, Wu;  Xiaokun, Feng;  Xuchen, Li;  Xin, Zhao;  Kaiqi, Huang
Adobe PDF(6215Kb)  |  收藏  |  浏览/下载:105/22  |  提交时间:2024/01/22
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition 会议论文
, Washington D.C., USA, 2023-2-9
作者:  Qingyu Wang;  Tielin Zhang;  Minglun Han;  Yi Wang;  Duzhen Zhang;  Bo Xu
Adobe PDF(1714Kb)  |  收藏  |  浏览/下载:171/50  |  提交时间:2023/06/20
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks 会议论文
, Washington DC, USA, 2023-2-7
作者:  Pei Xu;  Junge Zhang;  Qiyue Yin;  Chao Yu;  Yaodong Yang;  Kaiqi Huang
Adobe PDF(2037Kb)  |  收藏  |  浏览/下载:237/72  |  提交时间:2023/06/19
deep reinforcement learning  sparse reward  exploration  multi-agent