Loading…
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...
Saved in:
| Main Author: | |
|---|---|
| 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 |
|---|