Gym environments and stable-baselines integration for RL #3215
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About
OpenAI Gym wrapper for AirSim, and sample drone/car envs for reinforcement learning. Contains DQN examples that will replace the previous hand crafted DQN code. Integrated with stable baselines 3 (PyTorch based) for easy RL training with standard algorithm implementations.
Testing
This PR requires Pytorch to be installed (https://pytorch.org/get-started/locally/), along with the following specific dependencies.
pip install gym tensorboard stable-baselines3DQN car: Open Neighborhood binary, and run
python dqn_car.pyDQN drone: Open LandscapeMountains binary (with powerlines) and run
python dqn_drone.py