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)

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

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

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

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

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

Asynchronous Methods for Deep Reinforcement Learning

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

Reinforcement learning tutorials

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

Simple A3C implementation with pytorch + multiprocessing

Deep Reinforcement Learning with pytorch & visdom

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

A3C LSTM Atari with Pytorch plus A3G design

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