GitHub topics: asynchronous-advantage-actor-critic
ikostrikov/pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Language: Python - Size: 205 KB - Last synced at: 8 days ago - Pushed at: almost 6 years ago - Stars: 1,280 - Forks: 280

sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 852 - Forks: 323

MorvanZhou/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
Language: Python - Size: 139 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 642 - Forks: 146

MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Language: Python - Size: 428 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 9,185 - Forks: 5,026

Nasdin/ReinforcementLearning-AtariGame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
Language: Python - Size: 113 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 182 - Forks: 38

gianluca-maselli/A3C
PyTorch implementation of A3C (Asynchronous Advantage Actor Critic)
Language: Python - Size: 9.54 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

Scitator/rl-course-experiments
Language: Jupyter Notebook - Size: 2 MB - Last synced at: 6 days ago - Pushed at: about 8 years ago - Stars: 77 - Forks: 23

MZayed47/A3C_Agent
The Asynchronous Advantage Actor Critic (A3C) algorithm is one of the newest algorithms to be developed under the field of Deep Reinforcement Learning Algorithms. This algorithm was developed by Google’s DeepMind which is the Artificial Intelligence division of Google. In this repository, I have my implementations of A3C on Cartpole game, Robot arm, etc.
Language: Python - Size: 4.81 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

dgriff777/rl_a3c_pytorch
A3C LSTM Atari with Pytorch plus A3G design
Language: Python - Size: 99.4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 554 - Forks: 118

dksifoua/Reinforcement-Learning
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

andreimuntean/A3C
Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.
Language: Python - Size: 29.3 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 66 - Forks: 24

NikolaMr/Deep-Reinforcement-Learning
Deep reinforcement learning agent
Language: Python - Size: 439 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 1

mabirck/AttentionTRL
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
Language: Python - Size: 3.04 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 1

RoyalSkye/Atari-DRL
Play Atari(Breakout) Game by DRL - DQN, Noisy DQN and A3C
Language: Python - Size: 59.9 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 1

RLOpensource/Asynchronous_Advatnage_Actor_Critic
Language: Python - Size: 1.78 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

zhengfeiwang/pysc2-rl
StarCraft II / PySC2 reinforcement learning research
Language: Python - Size: 52.7 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
