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Transfer in reinforcement learning domains
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algorithms capable of mastering increasingly complex problems, but learning difficult tasks is often slow...
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Main Author: | |
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Corporate Author: | |
Format: | eBook |
Language: | English |
Published: |
Berlin :
Springer,
©2009.
Berlin : [2009] |
Series: | Studies in computational intelligence ;
v. 216. |
Physical Description: |
1 online resource (xii, 229 pages) : illustrations (some color). |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Copy 1 | CMU Electronic Access | Available |
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