reimplementation of the ddpg algorithm using tensorflow
☆38Oct 17, 2016Updated 9 years ago
Alternatives and similar repositories for DDPG
Users that are interested in DDPG are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆215Feb 16, 2018Updated 8 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆573Sep 28, 2021Updated 4 years ago
- Learning to Reinforcement Learn☆11Nov 22, 2022Updated 3 years ago
- reinfore learning tool box, contains trpo, a3c algorithm for continous action space☆42Jan 27, 2018Updated 8 years ago
- DDPG on OpenAI Gym Pendulum☆17Jul 1, 2016Updated 9 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆276Mar 22, 2018Updated 8 years ago
- later☆10Jul 9, 2022Updated 3 years ago
- Trust Region Policy Optimization with Generalized Advantage Estimator☆16Nov 15, 2018Updated 7 years ago
- ☆11Aug 27, 2017Updated 8 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆158Oct 19, 2017Updated 8 years ago
- Setting up DDPG based reinforcement learning in ROS Gazebo environment☆14Jul 29, 2019Updated 6 years ago
- ☆78Aug 19, 2018Updated 7 years ago
- trust region policy optimization base on gym and tensorflow, can run in distribution mode☆15May 6, 2017Updated 8 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆44Mar 4, 2017Updated 9 years ago
- Collection of Deep Reinforcement Learning algorithms☆300Mar 19, 2019Updated 7 years ago
- Reinforcement learning in python☆36Mar 24, 2019Updated 6 years ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Oct 11, 2018Updated 7 years ago
- hierarchical deep reinforcement learning algorithms☆43Dec 12, 2017Updated 8 years ago
- DiDi-Udacity Self-Driving Car Challenge 2017 Raw Data Reader☆11Apr 17, 2017Updated 8 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Apr 10, 2016Updated 9 years ago
- ☆101Aug 15, 2016Updated 9 years ago
- Implementation of TRPO and related algorithms☆648May 20, 2018Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆362Jun 2, 2020Updated 5 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆24Nov 29, 2018Updated 7 years ago
- Using Keras and Deep Deterministic Policy Gradient to play TORCS☆729Dec 4, 2017Updated 8 years ago
- ☆160Jul 21, 2017Updated 8 years ago
- Implementations of deep RL papers and random experimentation☆178Apr 7, 2018Updated 7 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆591Aug 9, 2018Updated 7 years ago
- Implementation of a simple example of Q learning in Torch.☆51Mar 5, 2017Updated 9 years ago
- ☆11Sep 20, 2016Updated 9 years ago
- Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'☆165Apr 18, 2017Updated 8 years ago
- Code for paper "Conversational Product Search Based on Negative Feedback"☆12Jun 26, 2020Updated 5 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Feb 23, 2017Updated 9 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Dec 31, 2016Updated 9 years ago
- ☆28Apr 28, 2019Updated 6 years ago
- ☆12Jul 3, 2017Updated 8 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Jul 3, 2017Updated 8 years ago
- Knowledge graph based information retrieval☆14Dec 26, 2018Updated 7 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,050Jun 10, 2023Updated 2 years ago