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1.
Hands-on intelligent agents with OpenAI Gym : a step-by-step guide to develop AI agents using deep reinforcement learning
Palanisamy, Praveen
E-book (2018.)
Description:
1 online resource (1 volume) : illustrations
Publisher:
Birmingham, UK : Packt Publishing, 2018.
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2.
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Lapan, Maxim
E-book (2018.)
Description:
1 online resource (1 volume) : illustrations
Publisher:
Birmingham, UK : Packt Publishing, 2018.
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3.
Optimal adaptive control & differential games by reinforcement learning principles
Vrabie, Draguna L.
E-book (©2013.)
Description:
1 online resource (xiv, 288 pages).
Publisher:
London : Institution of Electrical Engineers, ©2013.
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4.
Reinforcement learning and approximate dynamic programming for feedback control
Book (2013.)
Description:
xxvi, 613 pages : illustrations ; 24 cm.
Publisher:
Piscataway, NJ : IEEE Press ; 2013.
1 of 1 copy available at NOBLE (All Libraries).
1 of 1 copy available at Gordon College.
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5.
Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques
Lanham, Micheal
E-book (2020.)
Description:
1 online resource (1 volume) : illustrations
Publisher:
Birmingham, UK : Packt Publishing, 2020.
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6.
Control systems and reinforcement learning
Meyn, S. P. (Sean P.)
Book (2022.)
Description:
xv, 435 pages : illustrations (black and white) ; 27 cm.
Publisher:
Cambridge ; Cambridge University Press, 2022.
1 of 1 copy available at NOBLE (All Libraries).
1 of 1 copy available at Gordon College.
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7.
Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Dutta, Sayon
E-book (2018.)
Description:
1 online resource (1 volume) : illustrations
Publisher:
Birmingham, UK : Packt Publishing, 2018.
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