Deep Reinforcement Learning

ML-From-ScratchPython

Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility and transparency.

GitHub repositoryC++

Open-source simulator for drones and autonomous vehicles built on Unreal Engine and Unity, designed for AI research.

FinRLJupyter Notebook

An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.

GitHub repositoryC++

An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.

Awesome Reinforcement Learning

A curated list of resources dedicated to reinforcement learning, including theory, applications, code, tutorials, and platforms.

Awesome reinforcement learning

A curated list of reinforcement learning resources including theory, applications, code libraries, tutorials, and platforms.

cleanrlPython

A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.

pwnagotchiPython

An AI-powered WiFi security auditing tool that uses deep reinforcement learning to optimize capture of WPA handshakes.

TraxPython

An end-to-end deep learning library focused on clear code, speed, and research, built by Google Brain.

ReformerPython

An end-to-end deep learning library focused on clear code and speed, used for research and production by Google Brain.

SyllabusJupyter Notebook

An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.

Practical_RLJupyter Notebook

An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.

AI in Finance

A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.

keras-rlPython

A Python library implementing state-of-the-art deep reinforcement learning algorithms with seamless Keras integration.

TensorforcePython

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

TensorForce - A TensorFlow library for applied reinforcement learningPython

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

Ensemble-StrategyPython

An AI-native modular infrastructure for quantitative trading, featuring a weight-centric architecture for building, testing, and deploying algorithmic strategies.

DQN-tensorflowPython

TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.

rlpytPython

A modular, high-throughput PyTorch framework for deep reinforcement learning research, supporting policy gradient, deep Q-learning, and Q-function policy gradient algorithms.

d3rlpyPython

A Python library for offline deep reinforcement learning with support for state-of-the-art algorithms and user-friendly APIs.