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