ebrahimpichka / DDPG-implementation

An implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"

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DDPG-implementation

An implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"

  • A simple implementation of the paper "Continuous control with deep reinforcement learning" from DeepMind in python, using Pytorch framework.
  • to train the agent and the deep Q network run train.py.
  • the parameters of the Actor and Critic neural network and the agent could be set directly in train.py.
  • models and result plots are saved in the corresponding directories.
  • link to paper:
    https://arxiv.org/pdf/1509.02971.pdf

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An implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"


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