ikostrikov / pytorch-ddpg-naf
Implementation of algorithms for continuous control (DDPG and NAF).
☆307Updated 4 years ago
Alternatives and similar repositories for pytorch-ddpg-naf:
Users that are interested in pytorch-ddpg-naf are comparing it to the libraries listed below
- Reinforcement Learning with Deep Energy-Based Policies☆417Updated last year
- Actor-critic with experience replay☆252Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆258Updated 4 months ago
- Code for hierarchical imitation learning and reinforcement learning☆288Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 4 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- PyTorch implementation of Trust Region Policy Optimization☆435Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆314Updated 5 years ago
- Constrained Policy Optimization☆310Updated 7 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆103Updated 5 years ago
- An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.☆403Updated 3 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆175Updated 7 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆180Updated 7 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆273Updated 6 years ago
- implement of prioritized experience replay☆158Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)☆630Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 5 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆545Updated 7 years ago
- Deep Q-Learning Network in pytorch (not actively maintained)☆394Updated 7 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆559Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆305Updated 3 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- A PyTorch implementation of Rainbow DQN agent☆168Updated 6 years ago
- Mean Field Multi-Agent Reinforcement Learning☆386Updated 4 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 7 years ago
- Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch☆586Updated 6 years ago