Concurrent Modular Q-Learning with Local Rewards on Linked Multi-Component Robotic Systems

Lecture Notes in Computer Science - Foundations on Natural and Artificial Computation ◽

10.1007/978-3-642-21344-1_16 ◽

2011 ◽

pp. 148-155 ◽

Cited By ~ 1

Author(s):

Borja Fernandez-Gauna ◽

Jose Manuel Lopez-Guede ◽

Manuel Graña

Keyword(s):

Robotic Systems ◽

Q Learning

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Towards Concurrent Q-Learning on Linked Multi-Component Robotic Systems

Lecture Notes in Computer Science - Hybrid Artificial Intelligent Systems ◽

10.1007/978-3-642-21222-2_56 ◽

2011 ◽

pp. 463-470 ◽

Cited By ~ 2

Author(s):

Borja Fernandez-Gauna ◽

Jose Manuel Lopez-Guede ◽

Manuel Graña

Keyword(s):

Robotic Systems ◽

Q Learning

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Learning architecture for real robotic systems-extension of connectionist Q-learning for continuous robot control domain

Proceedings of the 1994 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.1994.351015 ◽

2002 ◽

Cited By ~ 9

Author(s):

F. Saito ◽

T. Fukuda

Keyword(s):

Robot Control ◽

Robotic Systems ◽

Q Learning

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Q-learning based Service Function Chaining using VNF Resource-aware Reward Model

2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS) ◽

10.23919/apnoms50412.2020.9236975 ◽

2020 ◽

Cited By ~ 1

Author(s):

Doyoung Lee ◽

Jae-Hyoung Yoo ◽

James Won-Ki Hong

Keyword(s):

Q Learning ◽

Service Function ◽

Resource Aware

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Robust Motion Control of Robotic Systems with Environmental Interaction via Data-Driven Inversion of CPG

2020 20th International Conference on Control, Automation and Systems (ICCAS) ◽

10.23919/iccas50221.2020.9268377 ◽

2020 ◽

Author(s):

Sangyul Park ◽

Hasun Lee ◽

Dongjun Lee

Keyword(s):

Motion Control ◽

Robotic Systems ◽

Data Driven ◽

Environmental Interaction ◽

Robust Motion Control

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Q-learning Based Radio Channels Utility Evaluation Algorithm for the Local Dynamic Spectrum Management in Mobile Ad-hoc Networks

2020 Baltic URSI Symposium (URSI) ◽

10.23919/ursi48707.2020.9254037 ◽

2020 ◽

Author(s):

Krzysztof Malon ◽

Jerzy Lopatka ◽

Pawel Skokowski

Keyword(s):

Ad Hoc ◽

Spectrum Management ◽

Dynamic Spectrum ◽

Local Dynamic ◽

Q Learning ◽

Dynamic Spectrum Management ◽

Evaluation Algorithm ◽

Utility Evaluation ◽

Mobile Ad Hoc ◽

Hoc Networks

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Prioritized epoch-incremental Q-learning algorithm

Theoretical and Applied Informatics ◽

10.2478/v10179-012-0008-1 ◽

2012 ◽

Vol 24 (2) ◽

Cited By ~ 1

Author(s):

Roman Zajdel

Keyword(s):

Learning Algorithm ◽

Q Learning

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Applying Q-Learning in intrusion policy prediction based on preferences on advanced persistent threats

Advances in Management Engineering and Information Technology ◽

10.2495/ameit140841 ◽

2015 ◽

Author(s):

S.H. Chien ◽

C.S. Ho ◽

C.H. Chen

Keyword(s):

Q Learning ◽

Advanced Persistent Threats

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Spacecraft Proximity Operation Emulation Using Ground Robotic Systems

AIAA Infotech@Aerospace 2010 ◽

10.2514/6.2010-3526 ◽

2010 ◽

Author(s):

Manoranjan Majji ◽

Jeremy Davis ◽

James Doebbler ◽

James Turner ◽

John Junkins ◽

...

Keyword(s):

Robotic Systems

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GROUP CONTROL OF ROBOTIC SYSTEMS WHEN EXTINGUISHING FIRES IN EXTREMELY HAZARDOUS CONDITIONS

Fire and Emergencies prevention elimination ◽

10.25257/fe.2018.4.19-25 ◽

2018 ◽

pp. 19-25

Author(s):

Sergei Tsarichenko ◽

◽

Aleksander Ovsyanik ◽

Evgeni Pavlov ◽

Stanislav Simanov ◽

...

Keyword(s):

Robotic Systems ◽

Group Control

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THE USE OF ROBOTIC SYSTEMS TO ENSURE FIRE SUPPRESSING EFFICIENCY AT POWER PLANTS

Fire and Emergencies prevention elimination ◽

10.25257/fe.2016.1.48-53 ◽

2016 ◽

pp. 48-53

Author(s):

Mikhail Aleshkov ◽

◽

Aleksei Rozhkov ◽

Oleg Dvoenko ◽

Ivan Olkhovsky ◽

...

Keyword(s):

Power Plants ◽

Robotic Systems

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