There are 220 repositories under deep-reinforcement-learning topic.
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.
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!!
Open-source simulator for autonomous driving research.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
FinRL: Financial Reinforcement 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.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
A course in reinforcement learning in the wild
Repo for the Deep Reinforcement Learning Nanodegree program
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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).
Minimal and Clean Reinforcement Learning Examples
Tensorforce: a TensorFlow library for applied reinforcement learning
Modularized Implementation of Deep RL Algorithms in PyTorch
A curated list of reinforcement learning with human feedback resources (continually updated)
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
MuZero
For trading. Please star.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
Top 200 deep learning Github repositories sorted by the number of stars.
Artificial intelligence for the Snake game.