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robopianist-rl

Reinforcement learning code for RoboPianist.

Installation

Note: Make sure you are using the same conda environment you created for RoboPianist (see here).

  1. Install JAX
  2. Run pip install -r requirements.txt

Usage

We provide an example bash script to train a policy to play Twinkle Twinkle Little Star with the task parameters used in the paper.

bash run.sh

To look at all the possible command-line flags, run:

python train.py --help

Citation

If you use this code, please cite our paper:

@article{zakka2023robopianist,
  author = {Zakka, Kevin and Smith, Laura and Gileadi, Nimrod and Howell, Taylor and Peng, Xue Bin and Singh, Sumeet and Tassa, Yuval and Florence, Pete and Zeng, Andy and Abbeel, Pieter},
  title = {{RoboPianist: A Benchmark for High-Dimensional Robot Control}},
  journal = {arXiv preprint arXiv:2304.04150},
  year = {2023},
}

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RL code for training piano-playing policies for RoboPianist.

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