liampetti / DDPGLinks
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
☆64Updated 8 years ago
Alternatives and similar repositories for DDPG
Users that are interested in DDPG are comparing it to the libraries listed below
Sorting:
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 2 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆312Updated 4 years ago
- Constrained Policy Optimization☆328Updated 8 years ago
- Code for hierarchical imitation learning and reinforcement learning☆296Updated 7 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆277Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 3 years ago
- Actor-critic with experience replay☆255Updated 3 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 7 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Implementation of Multi-Agent Deep Deterministic Policy Gradients☆39Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆186Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- ☆77Updated 7 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Collection of Deep Reinforcement Learning algorithms☆300Updated 6 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 5 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- Implementation of Meta-RL A3C algorithm☆404Updated 8 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago