MG2033 / A2CLinks
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
☆180Updated 6 years ago
Alternatives and similar repositories for A2C
Users that are interested in A2C are comparing it to the libraries listed below
Sorting:
- Actor-critic with experience replay☆254Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 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 Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 8 months ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Code for hierarchical imitation learning and reinforcement learning☆292Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A PyTorch implementation of Rainbow DQN agent☆169Updated 7 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆136Updated last year
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 7 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆361Updated 5 years ago
- TensorFlow implementation of the DDPG algorithm from the paper Continuous Control with Deep Reinforcement Learning (ICLR 2016)☆214Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Random Network Distillation pytorch☆250Updated 6 years ago
- Proximal Policy Optimization implementation with TensorFlow☆107Updated 6 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- C51-DDQN in Keras☆126Updated 7 years ago
- Collection of Deep Reinforcement Learning algorithms☆299Updated 6 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago