中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共67条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
User Response Modeling in Reinforcement Learning for Ads Allocation 会议论文
, 新加坡, May 13 - 17, 2024
作者:  Zhang, Zhiyuan;  Zhang, Qichao;  Wu, Xiaoxu;  Shi, Xiaowen;  Liao, Guogang;  Wang, Yongkong;  Wang, xingxing;  Zhao, Dongbin
Adobe PDF(2077Kb)  |  收藏  |  浏览/下载：37/16  |  提交时间：2024/06/25
Ads Allocation  Reinforcement Learning  User Response Modeling  
Power Control Based on Deep Reinforcement Learning for Spectrum Sharing 期刊论文
IEEE Transactions on Wireless Communications, 2024, 卷号: 19, 期号: 6, 页码: 4209-4219
作者:  Zhang,Haijun;  Yang,Ning;  Huangfu,Wei;  Long,Keping;  Leung,VictorCM
Adobe PDF(1925Kb)  |  收藏  |  浏览/下载：43/17  |  提交时间：2024/06/12
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: 10.1109/TITS.2024.3400227
作者:  Zeyu Gao;  Yao Mu;  Chen Chen;  Jingliang Duan;  Ping Luo;  Yanfeng Lu;  Shengbo Eben Li
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载：43/17  |  提交时间：2024/06/06
End-to-end autonomous driving  deep reinforcement learning  world model  
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13
作者:  Guangzheng Hu;  Yuanheng Zhu;  Haoran Li;  Dongbin Zhao
Adobe PDF(2144Kb)  |  收藏  |  浏览/下载：44/8  |  提交时间：2024/06/05
Games  Q-learning  Task analysis  Optimization  Convergence  Training  Nash equilibrium  Multi-agent reinforcement learning  minimax-Q learning  two-team zero-sum Markov games  
Continuous Exploration via Multiple Perspectives in Sparse Reward Environment 会议论文
, 厦门国际会议中心, 2023-10-13
作者:  Chen ZP(陈忠鹏);  Guan Q(关强)
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载：39/12  |  提交时间：2024/06/04
Reinforcement Learning · Exploration Strategy · Sparse Reward · Intrinsic Motivation  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：60/18  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic Trading 会议论文
, 台湾台北, 20240507-20240510
作者:  Cheng X(程曦);  Zhang JH(张景昊);  Ceng YN(曾宇楠);  Xue WF(薛文芳)
Adobe PDF(739Kb)  |  收藏  |  浏览/下载：44/12  |  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：62/21  |  提交时间：2024/05/31
Air Combat, Reinforcement Learning, Neural Fictitious Self-Play.  
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control 会议论文
Advances in Neural Information Processing Systems, New Orleans, USA, 2023-12-10
作者:  Chao Li;  Chen Gong;  Qiang He;  Xinwen Hou
Adobe PDF(1457Kb)  |  收藏  |  浏览/下载：42/12  |  提交时间：2024/05/30
Reward Estimation with Scheduled Knowledge Distillation for Dialogue Policy Learning 期刊论文
Connection Science, 2023, 卷号: 35, 期号: 1, 页码: 2174078
作者:  Qiu JY(邱俊彦);  Haidong Zhang;  Yiping Yang
Adobe PDF(831Kb)  |  收藏  |  浏览/下载：54/19  |  提交时间：2024/05/29
reinforcement learning  dialogue policy learning  curriculum learning  knowledge distillation