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

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

Maze Applied Reinforcement Learning Framework

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

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