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DDPG

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow.

Model DevelopmentReinforcement LearningPython
Open on GitHub
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577
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177
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Created 2016-05-13 · Updated 2026-10-12 · #16693 today

floodsung/DDPG is ranked 16,693 with 577 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModel Development
SubcategoryReinforcement Learning
KeywordsRL
Stars577
Forks177
Contributors0
Created date2016-05-13
Updated date2026-10-12
Stars in 1 day0
Stars in 7 days1
Rank16,693
Previous rank16,480
Rank change-213
7-day stars rank11,286
Previous 7-day stars rank11,346
7-day stars rank change60
Total stars rank17,305
Previous total stars rank17,275
Total stars rank change-30
CountryChina
README summary

DDPG Reimplementing DDPG from Continuous Control with Deep Reinforcement Learning based on OpenAI Gym and Tensorflow It is still a problem to implement Batch Normalization on the critic network. However the actor network works well with Batch Normalization. Some Mujoco environments are still unsolved on OpenAI Gym. Some Evaluations 1 InvertedPendulum 2 InvertedDoublePendulum 3 Hopper unsolved How to use If you want to change the Gym environment, change ENV_NAME in gym_ddpg. If you want to change the Network

type, change import in ddpg.

Frequently asked questions

How many stars and forks are recorded?

floodsung/DDPG has 577 stars and 177 forks.

What is the repository rank?

floodsung/DDPG is ranked 16,693.

What language and category are recorded?

floodsung/DDPG has 577 stars, uses Python and belongs to Model Development.

Which repository is closest in rank?

floodsung/DDPG is compared with facebookresearch/vicreg, ranked 16,692 with 577 stars.

README

DDPG

Reimplementing DDPG from Continuous Control with Deep Reinforcement Learning based on OpenAI Gym and Tensorflow

http://arxiv.org/abs/1509.02971

It is still a problem to implement Batch Normalization on the critic network. However the actor network works well with Batch Normalization.

Some Mujoco environments are still unsolved on OpenAI Gym.

Some Evaluations

1 InvertedPendulum

2 InvertedDoublePendulum

3 Hopper unsolved

How to use

git clone https://github.com/songrotek/DDPG.git
cd DDPG
python gym_ddpg.py

If you want to change the Gym environment, change ENV_NAME in gym_ddpg.py.

If you want to change the Network type, change import in ddpg.py such as

from actor_network_bn import ActorNetwork
to
from actor_network import ActorNetwork

Reference

1 https://github.com/rllab/rllab

2 https://github.com/MOCR/DDPG

3 https://github.com/SimonRamstedt/ddpg

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