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PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

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Recurrent Deterministic Policy Gradient (RDPG)

Overview

PyTorch implementation of Recurrent Deterministic Policy Gradient from the paper Memory-based control with recurrent neural networks

Requirements
$ python -m pip install --upgrade pip
$ pip install -r requirements.txt

Run

  • Training:

    • Pendulum-v0
    $ python main.py --env Pendulum-v0 --max_episode_length 1000 --trajectory_length 10 --debug
  • Testing (TODO)

References:

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PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

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