Reinforcement Learning Quickstart
To get setup with the repository,
git clone https://github.com/datares/rl-quickstart.git && cd rl-quickstart
To setup the development environment
conda create -n python=3.9 rl
conda activate rl
pip install -r requirements.txt
Then finally to train the agents
python main.py
Training metrics will be printed in stdout
Viewing Results
At the end of training, a window should open to display the trained agent.
To run tensorboard, run the following in a new terminal window
tensorboard --logdir=logs
Videos are also saved to the video directory, which has .mp4 videos of the testing results.
