rmst / ddpg
TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)
☆211Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ddpg
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆275Updated 6 years ago
- Implementations of deep RL papers and random experimentation☆177Updated 6 years ago
- "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow☆193Updated 6 years ago
- Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.☆121Updated 8 years ago
- Collection of Deep Reinforcement Learning algorithms☆297Updated 5 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated last year
- Value Iteration Networks☆288Updated 7 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆416Updated 11 months ago
- implement of prioritized experience replay☆156Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆178Updated 7 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆91Updated 7 years ago
- Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'☆163Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆307Updated 3 years ago
- Persistent advantage learning dueling double DQN for the Arcade Learning Environment☆264Updated 6 years ago
- ☆99Updated 8 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆400Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 5 years ago
- Simplest Version of playing Atari with Deep Q Learning in Tensorflow☆160Updated 7 years ago
- ☆161Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 4 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆180Updated 6 years ago
- Implementation of TRPO and related algorithms☆620Updated 6 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆65Updated 7 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Implementation of Meta-RL A3C algorithm☆400Updated 7 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆555Updated 3 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆592Updated 6 years ago
- A PyTorch implementation of Rainbow DQN agent☆165Updated 6 years ago