Value-Function-Based Reinforcement-Learning Library for Education and Research: Python3 Fork
Project description
Why Fork?
This is my fork of RLPy. Since the PyPI version of RLPy is not compatible with the latest numpy C-API, I forked the repo and am building ManyLinux wheels for Python3 on Azure. You can download these wheels from PyPI.
Original README: 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://github.com/rlpy/rlpy
Bitbucket mirror: http://bitbucket.org/rlpy/rlpy
Documentation: http://rlpy.readthedocs.org
Issue tracker: https://github.com/rlpy/rlpy/issues
Install
Installation instructions can be found at http://rlpy.readthedocs.org/en/latest/install.html
Project details
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 Distributions
Built Distributions
Hashes for rlpy3-1.3.7-cp37-cp37m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e06510c016c887c51b78bba06c73d46efd1371090fa0abfb454a4e608a8576b |
|
MD5 | c6faf2edc3efe89b9a3048cbb2d3ab8b |
|
BLAKE2b-256 | 4db2fa2ce33db2a4bb4feb1e13cf26b83c9adf34ddf6062cbc70d941fd9a2088 |
Hashes for rlpy3-1.3.7-cp36-cp36m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50ed4ea8b444914556f3e7e8c0e01ab3d6a212aa9d4872c854e60f32a78e4944 |
|
MD5 | ec5e985028082af458a9a44b744431a9 |
|
BLAKE2b-256 | 7d5bfcc79a627b6b19f6fbe381cf74b593f4370727569c8c943edce2881801bf |
Hashes for rlpy3-1.3.7-cp35-cp35m-manylinux1_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fae27cef6292304eecb52006c2e34b5b0001b428a50d110071b63b378adc5cc0 |
|
MD5 | 6269673ced2deb4ef81a76b4577a87b4 |
|
BLAKE2b-256 | 9f83282fb90f9daa3c3aec94ed7498ecfda0c4303233913a8bb1e7c9d8165972 |