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.