|
| Title: |
An Autonomous Transfer Learning Algorithm for TD-Learners |
| Author(s): |
A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas.
|
| Availability: |
Click here to download the PDF (Acrobat Reader) file.
|
| Keywords: |
|
| Appeared in: |
Proc. 8th Hellenic Conference on Artificial Intelligence (SETN 2014), (in press), Ioannina, Greece, 2014.
|
| Abstract: |
The main objective of transfer learning is to use the knowledge ac-
quired from a source task in order to boost the learning procedure in a target task.
Transfer learning comprises a suitable solution for reinforcement learning algo-
rithms, which often require a considerable amount of training time, especially
when dealing with complex tasks. This work proposes an autonomous method
for transfer learning in reinforcement learning agents. The proposed method is
empirically evaluated in the keepaway and the mountain car domains. The results
demonstrate that the proposed method can improve the learning procedure in the
target task. |
| See also : |
|
|
|
