Results 241 to 250 of about 404,230 (315)

Binocular Rivalry and Fusion-Inspired Hierarchical Complementary Ensemble for No-Reference Stereoscopic Image Quality Assessment. [PDF]

Sensors (Basel)
Tang Y, Jiang S, Xu S, Xiao J, Yu H.
europepmc   +1 more source

Federated reinforcement learning-driven multi-task optimization for robust and ethical edge internet of things security. [PDF]

Sci Rep
Li Y, Wang H, Xu G.
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TempReasoner: neural temporal graph networks for event timeline construction. [PDF]

Sci Rep
Aldawsari M.
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Enhancing knowledge graph recommendations through deep reinforcement learning. [PDF]

Sci Rep
Zhou J, Shen D, Guo Y, Zhao Y, Zhang H.
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Reinforced scan: a reinforcement learning enabled optimal laser scan path planning in laser powder bed fusion additive manufacturing. [PDF]

Int J Adv Manuf Technol
Dou C, Chung J, Gnanasambandam R, Wu Y, Li J, Kong ZJ.   +5 more
europepmc   +1 more source

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Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning

IEEE transactions on intelligent transportation systems (Print), 2023
Reinforcement learning (RL) has shown excellent performance in the sequential decision-making problem, where safety in the form of state constraints is of great significance in the design and application of RL.
Ziqing Gu, Lingping Gao, Haitong Ma, S. Li, Sifa Zheng, Wei Jing, Junbo Chen   +6 more
semanticscholar   +1 more source

Distributed Online Dispatch for Microgrids Using Hierarchical Reinforcement Learning Embedded With Operation Knowledge

IEEE Transactions on Power Systems, 2023
This paper considers the problem of distributed online economic dispatch (DOED) from sequential data using reinforcement learning. Learning operation behavior in high-dimension environments with constraints is a major challenge for the DOED of networked ...
Tianguang Lu, Ran Hao, Q. Ai, Hongying He   +3 more
semanticscholar   +1 more source

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback

Knowledge Discovery and Data Mining, 2023
In microservice systems, the identification of root causes of anomalies is imperative for service reliability and business impact. This process is typically divided into two phases: (i)constructing a service dependency graph that outlines the sequence ...
Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xue‐Chao Gao, Hao Fan, S. Rajmohan, Qingwei Lin, Dongmei Zhang   +12 more
semanticscholar   +1 more source

Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials

IEEE Transactions on Artificial Intelligence, 2023
Autonomous control in high-dimensional, continuous state spaces is a persistent and important challenge in the fields of robotics and artificial intelligence.
Adrian P. Pope, J. Ide, Daria Mićović, Henry Diaz, Jason C. Twedt, K. Alcedo, Thayne T. Walker, D. Rosenbluth, Lee Ritholtz, D. Javorsek   +9 more
semanticscholar   +1 more source