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...
Main Author: | Whiteson, Shimon. |
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Other Authors: | SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
Berlin ; Heidelberg :
Springer-Verlag,
©2010.
Berlin ; Heidelberg : [2010] |
Physical Description: |
1 online resource (xiii, 116 pages). |
Series: |
Studies in computational intelligence ;
v. 291. |
Subjects: |
CMU Electronic Access
Electronic Resource Click HereLocation | Call Number: | Status |
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CMU Electronic Access | Available |