changchencc / TransDreamer

Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS

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TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS

Code for TransDreamer: The code is built upon DreamerV2 codebase. Currently only Atari and Crafter is supported.

  • Preparation:
conda env create -f environment.yml
  • Train the model:
python main.py --config-file config_files/configs_atari.py
  • Results reproduction
    • Atari-Boxing Atari-Boxing
    • Atari-Freeway Atari-freeway
    • Atari-Pong Atari-pong

Citation

@article{chen2022transdreamer,
  title={Transdreamer: Reinforcement learning with transformer world models},
  author={Chen, Chang and Wu, Yi-Fu and Yoon, Jaesik and Ahn, Sungjin},
  journal={arXiv preprint arXiv:2202.09481},
  year={2022}
}

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Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS


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