Adaptive Representations for Reinforcement Learning
This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task. Since current methods typically rely on manually designed solution representations, agents that automatically adapt their own r...
| Κύριος συγγραφέας: | Whiteson, Shimon (Συγγραφέας) |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
|
| Σειρά: | Studies in Computational Intelligence,
291 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Adaptive Representations for Reinforcement Learning
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Έκδοση: (2010) -
Reinforcement Learning State-of-the-Art /
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Transfer in Reinforcement Learning Domains
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Design of Experiments for Reinforcement Learning
ανά: Gatti, Christopher
Έκδοση: (2015) -
Intelligent and Adaptive Educational-Learning Systems Achievements and Trends /
Έκδοση: (2013)