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Reinforcement Learning
Batch Reinforcement Learning
other
Author(s):
Sascha Lange
,
Thomas Gabel
,
Martin Riedmiller
Publication date
(Print):
2012
Publisher:
Springer Berlin Heidelberg
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Computer Vision, Deep Learning, Deep Reinforcement Learning, IoT
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Self-improving reactive agents based on reinforcement learning, planning and teaching
Long-Ji Lin
(1992)
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The Complexity of Decentralized Control of Markov Decision Processes
Daniel S Bernstein
,
Robert Givan
,
Neil Immerman
…
(2002)
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Residual Algorithms: Reinforcement Learning with Function Approximation
Leemon C. Baird
(1995)
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Author and book information
Book Chapter
Publication date (Print):
2012
Pages
: 45-73
DOI:
10.1007/978-3-642-27645-3_2
SO-VID:
84ed45bf-35c2-40ca-9e3b-c69b9c96dc21
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Book chapters
pp. 3
Reinforcement Learning and Markov Decision Processes
pp. 387
Partially Observable Markov Decision Processes
pp. 45
Batch Reinforcement Learning
pp. 359
Bayesian Reinforcement Learning
pp. 441
Game Theory and Multi-agent Reinforcement Learning
pp. 471
Decentralized POMDPs
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