Deep reinforcement learning

FinRL is an open-source framework implementing financial reinforcement learning for algorithmic trading research and education. It provides an...

CARLA is an open-source simulator purpose-built for autonomous driving research, development, and validation. It excels at providing flexible sensor...

ML-Agents is a toolkit enabling game developers and AI researchers to train intelligent agents using deep reinforcement learning, imitation learning,...

AirSim is an open-source simulator built on Unreal Engine and Unity for developing and testing autonomous vehicle algorithms (drones, cars,...

SLM Lab is a modular deep reinforcement learning framework in PyTorch that provides ready-to-use algorithms (PPO, SAC, DQN, A2C, etc.) validated...

CleanRL provides single-file, research-friendly implementations of deep reinforcement learning algorithms (PPO, DQN, C51, DDPG, TD3, SAC, PPG) with...

This repository contains educational lab materials and code for MIT 6.S191: Introduction to Deep Learning, a university course covering neural...

Pwnagotchi is a specialized security research tool that uses deep reinforcement learning (A2C algorithm with LSTM) to autonomously optimize WiFi...

Habitat-Lab is a modular library for training embodied AI agents (robots, humanoids) in simulated indoor environments across tasks like navigation,...