This is a Python implementation of the Least Squares Policy Iteration (LSPI) reinforcement learning algorithm. For more information on the algorithm please refer to the paper
You can also visit their website where more information and a Matlab version is provided.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.
TODO: Brief introduction on what you do with files - including link to relevant help section.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|lspi_python-1.0.1-py2-none-any.whl (15.8 kB) Copy SHA256 Checksum SHA256||py2||Wheel||May 25, 2015|
|lspi-python-1.0.1.tar.gz (11.8 kB) Copy SHA256 Checksum SHA256||–||Source||May 25, 2015|