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This is the official code of our paper "Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning" [Neurocomputing 2021].

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Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning

Here is the official code for our paper - "Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning" [Neurocomputing 2021].

illustrations

Requirements

  • ubuntu-16.04
  • cuda-10.0
  • pytorch==1.2.0
  • gym==0.12.5
  • gym[atari]
  • mujoco-py==1.50.1.56
  • mpi4py
  • cloudpickle

Installation

  1. Please install the required packages in the above list.
  2. Install rl_utils:
pip install -e .

Run Experiments

Please enter rl_algorithms/ppo folder to run PPO + DAIM, and enter rl_algorithms/a2c folder to run A2C + DAIM.

BibTex

To cite this code for publications - please use:

@article{dai2021diversity,
    title={Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning},
    author={Dai, Tianhong and Du, Yali and Fang, Meng and Bharath, Anil Anthony},
    journal={Neurocomputing},
    volume={468},
    pages={396-406},
    year={2021},
    publisher={Elsevier}
}

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This is the official code of our paper "Diversity-Augmented Intrinsic Motivation for Deep Reinforcement Learning" [Neurocomputing 2021].

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