deep-reinforcement-learning

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Open-source simulator for autonomous driving research.

Trax — Deep Learning with Clear Code and Speed

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

FinRL: Financial Reinforcement Learning. 🔥

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

A course in reinforcement learning in the wild

Repo for the Deep Reinforcement Learning Nanodegree program

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Tensorforce: a TensorFlow library for applied reinforcement learning

Minimal and Clean Reinforcement Learning Examples

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Modularized Implementation of Deep RL Algorithms in PyTorch