Adaptive stepsize selection for online Q-learning in a non-stationary environment

2006 8th International Workshop on Discrete Event Systems ◽

10.1109/wodes.2006.382396 ◽

2006 ◽

Cited By ~ 4

Author(s):

Kim Levy ◽

Felisa Vazquez-Abad ◽

Andre Costa

Keyword(s):

Q Learning ◽

Adaptive Stepsize ◽

Selection For ◽

Stepsize Selection

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Adaptive stepsize selection for tracking in a regime-switching environment

Automatica ◽

10.1016/j.automatica.2007.03.025 ◽

2007 ◽

Vol 43 (11) ◽

pp. 1896-1908 ◽

Cited By ~ 6

Author(s):

Andre Costa ◽

Felisa J. Vázquez-Abad

Keyword(s):

Regime Switching ◽

Adaptive Stepsize ◽

Selection For ◽

Stepsize Selection

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Adaptive stepsize selection for tracking in a non-stationary environment: a new pre-emptive approach

Proceedings of the 45th IEEE Conference on Decision and Control ◽

10.1109/cdc.2006.377312 ◽

2006 ◽

Author(s):

Andre Costa ◽

Felisa J. Vazquez-Abad

Keyword(s):

Adaptive Stepsize ◽

Selection For ◽

Stepsize Selection

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Q-Learning-Based Target Selection for Bearings-Only Autonomous Navigation

Journal of Systems Science and Complexity ◽

10.1007/s11424-020-9265-y ◽

2021 ◽

Author(s):

Kai Xiong ◽

Chunling Wei

Keyword(s):

Autonomous Navigation ◽

Target Selection ◽

Q Learning ◽

Selection For

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Intelligent neighbor selection for efficient query routing in unstructured P2P networks using Q-learning

Applied Intelligence ◽

10.1007/s10489-021-02793-6 ◽

2021 ◽

Author(s):

Mohammad Shoab ◽

Saad Al Jubayrin

Keyword(s):

P2p Networks ◽

Query Routing ◽

Q Learning ◽

Unstructured P2p ◽

Selection For ◽

Neighbor Selection

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Q-Learning Based Adaptive Channel Selection for Underwater Sensor Networks

2018 Fourth Underwater Communications and Networking Conference (UComms) ◽

10.1109/ucomms.2018.8493219 ◽

2018 ◽

Author(s):

Antony Pottier ◽

Paul D. Mitchell ◽

Francois-Xavier Socheleau ◽

Christophe Laot

Keyword(s):

Sensor Networks ◽

Channel Selection ◽

Underwater Sensor Networks ◽

Q Learning ◽

Selection For

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Learning stepsize selection for the geodesic-based neural blind deconvolution algorithm

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) ◽

10.1109/ijcnn.2008.4634042 ◽

2008 ◽

Author(s):

Simone Fiori

Keyword(s):

Blind Deconvolution ◽

Deconvolution Algorithm ◽

Selection For ◽

Stepsize Selection

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Q-Learning Based Optimum Relay Selection for a SWIPT-Enabled Wireless System

10.1007/978-3-030-90196-7_10 ◽

2021 ◽

pp. 100-107

Author(s):

Haojie Wang ◽

Bo Li

Keyword(s):

Relay Selection ◽

Wireless System ◽

Q Learning ◽

Selection For

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Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2021.100985 ◽

2021 ◽

pp. 100985

Author(s):

Lixin Cheng ◽

Qiuhua Tang ◽

Liping Zhang ◽

Zikai Zhang

Keyword(s):

Energy Aware ◽

Q Learning ◽

Shop Scheduling ◽

Multi Objective ◽

Selection For

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Q-learning cell selection for femtocell networks: Single- and multi-user case

2012 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2012.6503908 ◽

2012 ◽

Cited By ~ 13

Author(s):

Chaima Dhahri ◽

Tomoaki Ohtsuki

Keyword(s):

Cell Selection ◽

Femtocell Networks ◽

Q Learning ◽

Selection For

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Q-Learning Based Cell Selection for UE Outage Reduction in Heterogeneous Networks

2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall) ◽

10.1109/vtcfall.2014.6966140 ◽

2014 ◽

Cited By ~ 4

Author(s):

Toshihito Kudo ◽

Tomoaki Ohtsuki

Keyword(s):

Heterogeneous Networks ◽

Cell Selection ◽

Q Learning ◽

Selection For

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