OpenSpiel 0.2.0

This is our second release, mainly a stable version to use for our first entry in pip/PyPI.

Changes since last release:

Availability in PyPI as a source distribtuion. See installation page for instructions.

New Games

• Battleship
• Blackjack
• Clobber
• Hearts
• Klondike Solitaire
• Lewis Signaling
• Oh Hell
• Sheriff
• Slovenian Tarok
• Stones & Gems

New Algorithms

• CorrDist correlated equilibrium gap metrics for agent-form (AFCE, AFCCE)
• DQN (PyTorch)
• Deep CFR (TF2)
• External Sampling MCCFR (Python)
• Online Outcome Sampling (Lisy et al, 2015)
• NFSP (PyTorch)
• Policy Iteration
• Regression CFR (PyTorch) (Waugh et al. 2015, Morrill 2016)
• ResponseGraphUCB (Rowland et al. 2019)

New Support

• Build as a shared library using BUILD_SHARED_LIB
• Eigen
• Libtorch (PyTorch's C++ API)
• PyTorch (including 3 algorithms)

Bots

• Roshambo (rock paper scissors competition bots), optional using BUILD_WITH_ROSHAMBO
• xinxin (Nathan Sturtevant's Hearts bot), optional using BUILD_WITH_XINIXIN

Misc

• C++ LP solving via OR-Tools
• Correlated equilibrium solver via LP solver (C++)
• HyperGammon option to Backgammon
• Exact correlation device builder (for extensive-form correlated equilibria)
• Gambit normal-form game (.nfg) writer and reader
• Game Transform to start at a specific place in a game
• Observation framework
• Public State API and factored observation games (FOGs): public observations, action-observation histories, visualizations (Kovarik et al.)
• Repeated games
• Single-player turns in simultaneous move games
• Serialization and checkpointing in CFR, MCCFR, CFR-BR
• Serialization for kSampledStochastic chance modes
• Suggested alpha function for alpha-rank
• Supervised learning example for Hearts (based on xinxin self-play)

New utilities

• ActionView
• Random interface
• down_cast
• combinatorial helpers

New functionality, but untested or not fully supported

• C++ AlphaZero via TensorflowCC
• GAMUT integration

Removals

• dependency on sonnet (due to clashes with TF1; our uses replaced by simple_nets.py)
• games are no longer copyable
• PSRO version 1

Acknowledgments

Many thanks to DeepMind for their continued support of OpenSpiel.

Thank you to all of our contributors:

• https://github.com/deepmind/open_spiel/blob/master/docs/authors.md
• https://github.com/deepmind/open_spiel/graphs/contributors

Files

• The 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.