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academy

Ray tutorials from Anyscale

adaptive-tls

Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning

adaptive-traffic-signal-control-using-reinforcement-learning

This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

aiship_webapp

This web application is developed based on the joint work between the Marine Technology Centre , Universiti Teknologi Malaysia (UTM) and the Hiekata Laboratory, University of Tokyo (UTokyo) under the UTM research project "Predictive Model for Ship Design and Configuration Using Machine Learning : Model Development and Validation", project number: Q.J130000.3851.19J88.

aquaalert

aquidneck-island-transport

A SUMO model of Aquidneck Island for transportation simulation

certifai_mlfullstack_capstone

Passenger ship powering prediction web application with Scikit-learn, Jinja, boostrap and FastAPI

deep-qlearning-agent-for-traffic-signal-control

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.

deeplearning4j

Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

deeplearning4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

docker-sumo

Containerised SUMO. Use sumo, sumo-gui and TraCI with Docker. :whale: :car:

eclipse-collections

Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.

flow

Computational framework for reinforcement learning in traffic control

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hotel

machine-learning-fundamentals

Machine Learning Fundamentals

malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

openhab-addons

Add-ons for openHAB

openhab-core

Core framework of openHAB

openhab2-addons

This is an archive of the full history of the openhab2-addons repo.

openscan

All you need to build your 3D Scanner

opentlc

An open source traffic light control program

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rl-traffic-optimization_cil4sys

An implementation of the traffic simulation optimisation with reinforcement learning, with FLOW and SUMO.

rl4j

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

rl_signals

All you need to know about Reinforcement Learning for Traffic Signal Control. https://traffic-signal-control.github.io/

rllibsumodocker

Docker environment for RLLIB+SUMO Utils python library.

rllibsumoutils

Python3 library able to connect the RLLIB framework with the SUMO simulator.

smart-traffic-signals-in-india-using-deep-reinforcement-learning-and-advanced-computer-vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.