Skip to content

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

Notifications You must be signed in to change notification settings

ebrahimpichka/DDPG-implementation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

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

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages