liampetti / DDPG
Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces
☆65Updated 7 years ago
Alternatives and similar repositories for DDPG:
Users that are interested in DDPG are comparing it to the libraries listed below
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 5 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆179Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆212Updated 6 years ago
- implement of prioritized experience replay☆158Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated last year
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 6 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆174Updated 7 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆36Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Constrained Policy Optimization☆308Updated 7 years ago
- Hybrid Reward Architecture☆78Updated 6 years ago
- Hierarchical Deep RL Network☆31Updated 7 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well☆92Updated 7 years ago
- ☆160Updated 7 years ago
- Yet another prioritized experience replay buffer implementation.☆49Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆307Updated 3 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 6 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 4 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 5 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 4 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated 9 months ago
- Code for hierarchical imitation learning and reinforcement learning☆289Updated 6 years ago