Value-Function-Based Reinforcement-Learning Library for Education and Research
Project description
RLPy - Reinforment Learning Framework
RLPy is a framework to conduct sequential decision making experiments. The current focus of this project lies on value-function-based reinforcement learning. The project is distributed under the 3-Clause BSD License.
Important Links
Official source code repository: http://bitbucket.org/rlpy/rlpy
Github Mirror: http://github.com/rlpy/rlpy
Documentation and Homepage: http://acl.mit.edu/rlpy
Issue Tracker: http://bitbucket.org/rlpy/rlpy/issues
Install
Installation instructions can be found at http://acl.mit.edu/rlpy/install.html
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rlpy-1.3.2.tar.gz
(1.7 MB
view details)
File details
Details for the file rlpy-1.3.2.tar.gz.
File metadata
- Download URL: rlpy-1.3.2.tar.gz
- Upload date:
- Size: 1.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d6789b78a27f9b8a6c9a55db941d7a3dee986318b798c6c2b6afbd0f7bbb813b
|
|
| MD5 |
e8eb2a4ad756827aad3fe70c98ce943a
|
|
| BLAKE2b-256 |
b00c30ec55af6d0e05f87ad4cf924994ad8252c8d192daa022c453c35ebf83eb
|
