/SpaceX_Rocket_Landing

OpenAI gym extension of Simulated SpaceX rocket landing. The repository also contains a solution using DDSM (Deep Deterministic Selective Memory)

Primary LanguagePython

SpaceX_Rocket_Landing

OpenAI gym extension of Simulated SpaceX rocket landing. The repository also contains the RL agent/solution using DDSM (Deep Deterministic Selective Memory) from the FitML repo.

The original environment from EmerbersArc can be found here

Usage

1 - Download the repo

2 - Download dependencies. Usually pip install <package name>

3 - run python RockLand_ker.py | or use your own RL agent.

Author

Michel is an AI researcher and a graduate from University of Montreal who currently works in the Healthcare industry.