Reinforcement Learning State-of-the-Art /
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement l...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Wiering, Marco (Επιμελητής έκδοσης), Otterlo, Martijn van (Επιμελητής έκδοσης) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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Σειρά: | Adaptation, Learning, and Optimization,
12 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Transfer in Reinforcement Learning Domains
ανά: Taylor, Matthew E.
Έκδοση: (2009) -
Adaptive Representations for Reinforcement Learning
ανά: Whiteson, Shimon
Έκδοση: (2010) -
Design of Experiments for Reinforcement Learning
ανά: Gatti, Christopher
Έκδοση: (2015) -
From Motor Learning to Interaction Learning in Robots
Έκδοση: (2010) -
Towards an Intelligent Learning Management System Under Blended Learning Trends, Profiles and Modeling Perspectives /
ανά: Dias, Sofia B., κ.ά.
Έκδοση: (2014)