Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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 ....

Minimal and Clean Reinforcement Learning Examples

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

Scalable, event-driven, deep-learning-friendly backtesting library

Deep Reinforcement Learning with pytorch & visdom

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

Simple A3C implementation with pytorch + multiprocessing

🐋 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.

Reinforcement learning tutorials

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.