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检索条件"任意字段=IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning"
1018 条 记 录,以下是471-480 订阅
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A study of dynamically adjustment for exploitation action using evaluation of achievement  28
A study of dynamically adjustment for exploitation action us...
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28th Int symposium on Micro-NanoMechatronics and Human Science (MHS) - From Micro and Nano Scale Systems to Robotics and Mechatronics Systems / symposium on Understanding Brain Plasticity on Body Representations to Promote Their adaptive Functions
作者: Sugimoto, Masashi Kurashige, Kentarou Kagawa Coll Natl Inst Technol 551 Kohda Mitoya Kagawa 7691192 Japan Muroran Inst Technol 27-1 Mizumoto Muroran Hokkaido 0508585 Japan
Over the years, many studies have been conducted with the objective of facilitating the working of robots in dynamic environments. Various robots have been developed to assist humans in workspaces, such as a house or ... 详细信息
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Autonomous Robot Navigation System with learning Based on Deep Q-Network and Topological Maps
Autonomous Robot Navigation System with Learning Based on De...
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ieee/SICE International symposium on System Integration (SII)
作者: Kato, Yuki Kamiyama, Koji Morioka, Kazuyuki Meiji Univ Grad Sch Adv Math Sci Network Design Program Tokyo Japan
This paper proposes a autonomous mobile robot navigation system integrating local navigation based on deep reinforcement learning and global navigation based on topological maps. Especially, the proposed system aims t... 详细信息
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Cache-Enabled adaptive Bit Rate Streaming via Deep Self-Transfer reinforcement learning  10
Cache-Enabled Adaptive Bit Rate Streaming via Deep Self-Tran...
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10th International Conference on Wireless Communications and Signal Processing (WCSP)
作者: Zhang, Zhengming Zheng, Yaru Li, Chunguo Huang, Yongming Yang, Luxi Southeast Univ Sch Informat Sci & Engn Nanjing 210096 Jiangsu Peoples R China
Caching and rate allocation are two promising approaches to support video streaming over wireless networks. However, existing rate allocation designs do not fully exploit the advantages of the two approaches. This pap... 详细信息
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ADP-based adaptive Optimal Tracking of Strict-feedback Nonlinear Systems
ADP-based Adaptive Optimal Tracking of Strict-feedback Nonli...
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ieee symposium Series on Computational Intelligence (ieee SSCI)
作者: Gao, Weinan Jiang, Zhong-Ping Georgia Southern Univ Coll Engn & Informat Technol Dept Elect Engn Statesboro GA 30460 USA NYU Dept Elect & Comp Engn Tandon Sch Engn Brooklyn NY 11201 USA
This paper proposes a novel data-driven control approach to address the problem of adaptive optimal tracking for a class of nonlinear systems taking the strict-feedback form. adaptive dynamic programming (ADP) and non... 详细信息
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Mobile Robot Control Based on Hybrid Neuro-Fuzzy Value Gradient reinforcement learning
Mobile Robot Control Based on Hybrid Neuro-Fuzzy Value Gradi...
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International Joint Conference on Neural Networks (IJCNN)
作者: Al-Dabooni, Seaar Wunsch, Donald Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65401 USA
This paper uses value gradient learning (VGL) to track a reference trajectory under uncertainties, by computing the optimal left and right torque values for a nonholonomic mobile robot. VGL is a high-performance algor... 详细信息
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A Comparison of reinforcement learning Techniques for Fuzzy Cloud Auto-Scaling  17
A Comparison of Reinforcement Learning Techniques for Fuzzy ...
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17th ieee/ACM International symposium on Cluster, Cloud and Grid Computing (CCGRID)
作者: Arabnejad, Hamid Pahl, Claus Jamshidi, Pooyan Estrada, Giovani Dublin City Univ IC4 Dublin Ireland Free Univ Bozen Bolzano Bolzano Italy Imperial Coll London London England Intel Leixlip Ireland
A goal of cloud service management is to design self-adaptable auto-scaler to react to workload fluctuations and changing the resources assigned. The key problem is how and when to add/remove resources in order to mee... 详细信息
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Analytical Greedy Control and Q-learning for Optimal Power Management of Plug-in Hybrid Electric Vehicles
Analytical Greedy Control and Q-Learning for Optimal Power M...
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ieee symposium Series on Computational Intelligence (ieee SSCI)
作者: Liu, Chang Murphey, Yi Lu Univ Michigan Dearborn Dept Elect & Comp Engn Dearborn MI 48128 USA
In this paper, we present two solutions for achieving the optimal control of PHEVs on short trips. We prove, mathematically, that a greedy control policy is optimal for those short trips where the battery State-of-Cha... 详细信息
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Energy and Lifetime Optimizations for Dark Silicon Manycore Microprocessor Considering Both Hard and Soft Errors
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ieee TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS 2017年 第9期25卷 2561-2574页
作者: Kim, Taeyoung Sun, Zeyu Chen, Hai-Bao Wang, Hai Tan, Sheldon X-D Univ Calif Riverside Dept Comp Sci & Engn Riverside CA 92521 USA Shanghai Jiao Tong Univ Dept Micro Nanoelect Engn Shanghai 200240 Peoples R China Univ Elect Sci Technol China Sch Microelect & Solid State Elect Chengdu 610051 Sichuan Peoples R China
In this paper, we propose a new energy and lifetime optimization techniques for emerging dark silicon manycore microprocessors considering both hard long-term reliability effects (hard errors) and transient soft error... 详细信息
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8th International symposium on Parallel Architectures, Algorithms, and programming, PAAP 2017
8th International Symposium on Parallel Architectures, Algor...
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8th International symposium on Parallel Architectures, Algorithms, and programming, PAAP 2017
The proceedings contain 57 papers. The special focus in this conference is on Parallel Architectures, Algorithms, and programming . The topics include: Ford motor side-view recognition system based on wavelet entropy ...
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ieee TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS Special Section on Deep reinforcement learning and adaptive dynamic programming
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ieee Transactions on Neural Networks and learning Systems 2017年 第4期28卷 1016-1016页
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