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