Simrl stands for Simple Implementations of Reinforcement Learning. This repository is still under development. If you find any problem, feel free to open an issue.

git clone https://github.com/IcarusWizard/simrl.git
cd simrl 
pip install -e .

You can start training by calling the algorithm, i.e.

python -m simrl.algo.<type>.<name> --env <env_name>

• Model-based
  • PETS
  • MBPO
• Model-free
  • TRPO
  • PPO
  • DQN
  • SAC

The default installation only supports classical gym environments with flatten states. You can enable more supports with pip install -e .[env], which will install box2d and pybullet.

We all support dm_control, please see their repo for instruction of installation. Please not that for test convenience, the default backend is set as egl.

We are planning to add support for more diverse environments and POMDP environments with visual inputs.