September 23, 2019

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deepmind/hanabi-learning-environment

deepmind/hanabi-learning-environment

hanabi_learning_environment is a research platform for Hanabi experiments.

repo name deepmind/hanabi-learning-environment
repo link https://github.com/deepmind/hanabi-learning-environment
homepage
language Python
size (curr.) 117 kB
stars (curr.) 471
created 2019-01-31
license Apache License 2.0

This is not an officially supported Google product.

hanabi_learning_environment is a research platform for Hanabi experiments. The file rl_env.py provides an RL environment using an API similar to OpenAI Gym. A lower level game interface is provided in pyhanabi.py for non-RL methods like Monte Carlo tree search.

Getting started

Install the learning environment:

sudo apt-get install g++            # if you don't already have a CXX compiler
sudo apt-get install python-pip     # if you don't already have pip
pip install .                       # or pip install git+repo_url to install directly from github

Run the examples:

pip install numpy                   # game_example.py uses numpy
python examples/rl_env_example.py   # Runs RL episodes
python examples/game_example.py     # Plays a game using the lower level interface
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