Repository Index

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

Machine learning, in numpy

• machine-learning
• neural-networks
• topic-modeling
• gaussian-mixture-models

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

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.

Deep Reinforcement Learning for Keras.

• keras
• tensorflow
• theano
• reinforcement-learning

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

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

A toolkit for reproducible reinforcement learning research.

• rl-algorithms
• reproducibility
• pytorch
• tensorflow

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

Computational framework for reinforcement learning in traffic control

• reinforcement-learning
• traffic-control
• benchmark
• autonomous

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

Environment for reinforcement-learning algorithmic trading models

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

• reinforcement-learning
• deep-learning
• pytorch
• pytorch-reinforcement-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

Trading Environment(OpenAI Gym) + PPO(TensorForce)

• ppo
• proximal-policy-optimization
• tensorforce
• trading

TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".

• game-ai
• hearthstone
• reinforcement-learning
• rust

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

• micropython
• neural-network
• multilayer-perceptron
• mlp

A set of neuroevolution experiments with/towards deep networks

• rubyml