The is the implementation of Deep Deterministic Policy Gradient (DDPG) using PyTorch. Part of the utilities functions such as replay buffer and random process are from keras-rl repo. Contributes are very welcome.

• Python 3.4
• PyTorch 0.1.9
• OpenAI Gym

• Training : results of two environment and their training curves:

  • Pendulum-v0

  $ ./main.py --debug

  

  • MountainCarContinuous-v0

  $ ./main.py --env MountainCarContinuous-v0 --validate_episodes 100 --max_episode_length 2500 --ou_sigma 0.5 --debug

  

• Testing :

$ ./main.py --mode test --debug