deep-reinforcement-learning

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Open source neural network chess engine with GPU acceleration and broad hardware support.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Summaries of machine learning papers

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Deep Reinforcement Learning: Zero to Hero!

List of awesome resources for machine learning-based algorithmic trading

FinRL­®-Meta: Dynamic datasets and market environments for FinRL.

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

Top 200 deep learning Github repositories sorted by the number of stars.

An offline deep reinforcement learning library

Rainbow: Combining Improvements in Deep Reinforcement Learning

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

A Japanese (Riichi) Mahjong AI Framework

Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning.