Deep reinforcement learning-based replacement strategy for content caching.

A simulator and learning agent to solve the ridesharing problem

Notebooks and code for the book "Introduction to Machine Learning with Python"

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

LRU, LFU, LFRU caches implementation, 缓存实现

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Test_data_visualization

Deep reinforcement learning for mobile edge computing

Researching a cache replacement policy governed by reinforcement learning.

NDN caching simulator for edge computing using python

Caching simulator in edge computing using python

SatEdgeSim: A Toolkit for Modeling and Simulation of Performance Evaluation in Satellite Edge Computing Environments

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

Simulate the real environment, perform edge computing, edge caching experiments

A benchmark environment for fully cooperative multi-agent performance.

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

Resource Management with Deep Reinforcement Learning (HotNets '16)