- Jupyter
- Matplotlib
- numpy
- Pillow
- Python (2 or 3)
- scipy
- Tensorflow (1.0+)
To install dependencies, run:
pip install .
or
pip3 install .
If your Python environment doesn't include pip, see these instructions on installing it.
- Basic - Demonstrates usage of
UnityEnvironmentclass for launching and interfacing with Unity Environments. - PPO - Used for training agents. Contains an implementation of Proximal Policy Optimization Reinforcement Learning algorithm.
To launch jupyter, run:
jupyter notebook
Then navigate to localhost:8888 to access each training notebook.
To monitor training progress, run the following from the root directory of this repo:
tensorboard --logdir='./summaries'
Then navigate to localhost:6006 to monitor progress with Tensorboard.
To train using PPO without the notebook, run:
python3 ppo.py <env_name> --train
For a list of additional hyperparameters, run:
python3 ppo.py --help
See this wiki page for a detailed description of the functions and uses of the Python API.
See this related blog post for a description of how to run Unity Environments on AWS EC2 instances with the GPU.