Universal artificial intelligence sequential decisions based on algorithmic probability /
"The book introduces these two well-known but very different ideas and removes the limitations by unifying them to one parameter-free theory of an optimal reinforcement learning agent embedded in an arbitrary unknown environment. Most if not all Al problems can easily be formulated within this...
Main Author: | Hutter, Marcus. |
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Other Authors: | SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
Berlin ; New York :
Springer,
©2005.
Berlin ; New York : [2005] |
Physical Description: |
1 online resource (xx, 278 pages) : illustrations. |
Series: |
Texts in theoretical computer science.
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Subjects: |
CMU Electronic Access
Electronic Resource Click HereLocation | Call Number: | Status |
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CMU Electronic Access | Available |