a3c
There are 176 repositories under a3c topic.
datawhalechina/easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
kengz/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
ikostrikov/pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
vietnh1009/Super-mario-bros-A3C-pytorch
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Kismuz/btgym
Scalable, event-driven, deep-learning-friendly backtesting library
jingweiz/pytorch-rl
Deep Reinforcement Learning with pytorch & visdom
omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
lcswillems/rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
MorvanZhou/pytorch-A3C
Simple A3C implementation with pytorch + multiprocessing
marload/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
miyosuda/async_deep_reinforce
Asynchronous Methods for Deep Reinforcement Learning
dgriff777/rl_a3c_pytorch
A3C LSTM Atari with Pytorch plus A3G design
germain-hug/Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
jaromiru/AI-blog
Accompanying repository for Let's make a DQN / A3C series.
pythonlessons/Reinforcement_Learning
Reinforcement learning tutorials
sudharsan13296/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
xiaowei-hu/pysc2-agents
This is a simple implementation of DeepMind's PySC2 RL agents.
dgriff777/a3c_continuous
A continuous action space version of A3C LSTM in pytorch plus A3G design
lcswillems/torch-ac
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
steveKapturowski/tensorflow-rl
Implementations of deep RL papers and random experimentation
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
greydanus/baby-a3c
A high-performance Atari A3C agent in 180 lines of PyTorch
vietnh1009/Street-fighter-A3C-ICM-pytorch
Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike
simonmeister/pysc2-rl-agents
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
Allenpandas/Tutorial4RL
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
onlytailei/A3C-PyTorch
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
cyoon1729/Policy-Gradient-Methods
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
LxzGordon/Deep-Reinforcement-Learning-with-pytorch
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
boubnanm/Deep-Reinforcement-Learning-applied-to-DOOM
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
arnomoonens/yarll
Combining deep learning and reinforcement learning.