Repository Index

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-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.

• reinforcement-learning
• unity3d
• deep-learning
• unity

FinRL®: Financial Reinforcement Learning. 🔥

• deep-reinforcement-learning
• drl-trading-agents
• stock-trading
• drl-algorithms

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

• reinforcement-learning
• reinforcement-learning-algorithms
• machine-learning
• gym

An elegant PyTorch deep reinforcement learning library.

• pytorch
• policy-gradient
• dqn
• double-dqn

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

• rl
• ml
• ai
• google

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

• ai
• deep-reinforcement-learning
• wpa-psk
• handshakes

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

• c-plus-plus
• machine-learning
• online-learning
• contextual-bandits

Unified framework for robot learning with multi-physics/renderer support

• robot-learning
• robotics
• omniverse-kit-extension
• isaac-sim

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

• tensorlayer
• deep-learning
• tensorflow
• neural-network

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

PyTorch implementations of deep reinforcement learning algorithms and environments

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

• games
• reinforcement-learning
• multiagent
• cpp

Deep Reinforcement Learning for Keras.

• keras
• tensorflow
• theano
• reinforcement-learning

TranslatedGenshin Impact auto-fishing AI based on deep reinforcement learning

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

• tensorflow
• pytorch
• keras
• gobang

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

• reinforcement-learning-algorithms
• reinforcement-learning
• machine-learning
• gym

Mastering Diverse Domains through World Models

• artificial-intelligence
• general
• minecraft
• reinforcement-learning

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

• reinforcement-learning
• multiagent-reinforcement-learning
• self-play
• imitation-learning

Tensorforce: a TensorFlow library for applied reinforcement learning

• reinforcement-learning
• tensorflow
• deep-reinforcement-learning
• tensorflow-library

TensorFlow Reinforcement Learning

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

• reinforcement-learning
• tensorflow
• contextual-bandits
• bandits

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning