Deep Assist

Create assistive agents to help humans with real-time control tasks.

Usage

Install Python dependencies with the pip package manager using

pip install -r requirements.txt

Install gym and replace gym/envs/box2d/lunar_lander.py with deepassist/lunar_lander_for_{bots,humans}.py.

Install baselines and replace baselines/baselines/deepq/simple.py with deepassist/simple.py.

Extract this zip file into deepassist/.

For the quadrotor experiments, install ardrone_autonomy and vicon_bridge.

Questions and comments

Please contact the author at sgr [at] berkeley [dot] edu if you have questions or find bugs.

Citation

If you find this software useful in your work, we kindly request that you cite the following paper:

@InProceedings{Reddy/etal/18a,
  title={Shared Autonomy via Deep Reinforcement Learning},
  author={Reddy, Siddharth and Dragan, Anca D. and Levine, Sergey},
  booktitle={Arxiv 1802.01744},
  year={2018},
  url={https://arxiv.org/abs/1802.01744}
}