OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
This is our second release, mainly a stable version to use for our first entry in pip/PyPI.
Availability in PyPI as a source distribtuion. See installation page for instructions.
Many thanks to DeepMind for their continued support of OpenSpiel.
Thank you to all of our contributors:
open_spiel-0.2.0.tar.gz
and open_spiel-0.2.0.zip
archives below include minimal dependencies necessary to build OpenSpiel, including some optional games, such as the Hanabi Learning Environment and universal_poker wrapper to ACPC poker code.This is our first release since we initially released OpenSpiel in August 2019.
The main purpose is to provide a stable version for anybody currently using the code base for research, or any other form of dependency, as we are planning a number of changes that could be disruptive. Please see #166 and #238 for details.
In addition: many fixes.
Thank you to all our contributors!