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quantumkatas

Tutorials and programming exercises for learning Q# and quantum computing

queueing-modelsim

Queueing Models Simulator.

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

real-time-stock-market-prediction-using-ensemble-dl-and-rainbow-dqn

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-1

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-2

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-based-channel-switching-in-cr-iot

A Multi-objective Reinforcement learning problem can be formulated as to predicting the Channel Availability Schedule over time slots in Cognitive Radio -IoT

reinforcement-learning-based-optimizationframework-for-application-componentmigration-in-nfv-cloud-f

In this project ,a component migration strategy in an NFV-based hybrid cloud/fog system considering the mobility of both end-users and fog nodes based on Deep Reinforcement Learning is implemented.

reinforcement-learning-branch-and-bound

reinforcement-learning-in-path-finding

Reinforce Learing, Q-Rounting, Shortest-Path

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement_learning

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

resource-allocation-opt

Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python

resource-allocation-vms

Application of Particle Swarm Optimization Technique for dynamic resource allocation in a cloud computing environment

resourceallocationreinforcementlearning

intial version

resources-allocation-in-the-edge-computing-environment-using-reinforcement-learning

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

river

🌊 Online machine learning in Python

rl-for-binary-computation-offloading-in-wireless-powered-mec-networks

It's a implementation about the paper Liang Huang, Suzhi Bi, and Ying-jun Angela Zhang, "Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks", on https://ieeexplore.ieee.org/document/8771176

rl-testbed-for-energyplus

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

rlad-core-simulator

Rlad-core is a Reinforcement Learning (RL) based Adaptive Deployment solution, which uses machine learning to scale services. This project is a simple simulator to run the rlad-core library.

rm_deeprl

Resource Management with DeepRL using TF Agents

robotics-coursework

🤖 Places where you can learn robotics (and stuff like that) online 🤖

rpi-urban-mobility-tracker

The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

rq

Simple job queues for Python

rust-raspberrypi-os-tutorials

:books: Learn to write an embedded OS in Rust :crab:

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.