Popular GitHub Repositories for A3c

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

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..

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

? Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Asynchronous Methods for Deep Reinforcement Learning

A3C LSTM Atari with Pytorch plus A3G design

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Accompanying repository for Let's make a DQN / A3C series.

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

This is a simple implementation of DeepMind's PySC2 RL agents.

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Implementations of deep RL papers and random experimentation

A high-performance Atari A3C agent in 180 lines of PyTorch

Curiosity-driven Exploration by Self-supervised Prediction for Street Fighter III Third Strike