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Code for "Dream and Search to Control: Latent Space Planning for Continuous Control"

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dream-and-search

Code for "Dream and Search to Control: Latent Space Planning for Continuous Control", published in Deep RL Workshop, NeurIPS 2020

If you would like to cite it, please use following:

@article{koul2020dream,
  title={Dream and Search to Control: Latent Space Planning for Continuous Control},
  author={Koul, Anurag and Kumar, Varun V and Fern, Alan and Majumdar, Somdeb},
  journal={arXiv preprint arXiv:2010.09832},
  year={2020}
}

Installation

  1. Install pytorch (1.6)
  2. Install mujoco200 and mujoco license
  3. pip install -r requirements.txt

Usage

  • Argument info:$ python main.py --help
  • Train: $ python main.py --case dm_control --env cheetah-run --opr train --action-repeat 2 --search-mode no-search
  • Test: $ python main.py --case dm_control --env cheetah-run --opr test --action-repeat 2 --search-mode no-search

References:

  1. https://github.com/danijar/dreamer
  2. https://github.com/yusukeurakami/dreamer-pytorch

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