LCS environment
The repository contains environments used in LCS literature that are compliant with OpenAI Gym interface.
Currently implemented environments
- Maze (different variants)
- Binary Multiplexer
- Real Multiplexer
- Hand Eye
- Checkerboard
- Real-valued toy problems
- 1D Corridor,
- 2D Grid
For some usage examples look at examples/ directory.
Development
conda create --name openai-envs python=3.7
source activate openai-envs
pip install -r requirements.txt
make test