➠ Proximal Policy Optimization (PPO) Explained
The journey from REINFORCE to the go-to algorithm in continuous control
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The journey from REINFORCE to the go-to algorithm in continuous control
Reinforcement Learning for Inventory Optimization Series II: An RL Model for A Multi-Echelon…
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Reinforcement Learning for Inventory Optimization Series II: An RL Model for A Multi-Echelon NetworkBuild a proximal policy optimization (PPO) model to optimize the inventory operations of a multi-echelon supply chain networkPhoto by Nastya Dulhiier on U
Optimization, Newton’s Method, & Profit Maximization: Part 1 — Basic Optimization Theory
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Optimization, Newton’s Method, & Profit Maximization: Part 1 — Basic Optimization TheoryLearn how to solve and utilize Newton’s Method to solve multi-dimensional optimization problemsAll Images by AuthorThis article is the 1st in a 3 part series. In the 1st part, we will be studying basic optimization theory.
A Reinforcement Learning-Based Inventory Control Policy for Retailers
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Build a Deep Q Network (DQN) model to optimize the inventory operations for a single retailerPhoto by Don Daskalo on UnsplashInventory optimization is an important aspect of supply chain management, which is concerned with optimizing the inventory operations of businesses. It uses mathematical model t
Proximal Policy Optimization (PPO) Explained
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The journey from REINFORCE to the go-to algorithm in continuous controlContinue reading on Towards Data Science »
A new default Referrer-Policy for Chrome: strict-origin-when-cross-origin
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A new default Referrer-Policy for Chrome: strict-origin-when-cross-origin
Before we start:
If you're unsure of the difference between "site" and "origin", check out Understanding
"same-site" and "same-origin".
The Referer header is missing an R, due to
How to SLSA Part 2 - The Details
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Posted by Tom Hennen, software engineer, BCID & GOSST In our last post we introduced a fictional example of Squirrel, Oppy, and Acme learning to use SLSA and covered the basics of what their implementations might look like. Today we’ll cover the de
Best Resources to Learn Reinforcement Learning
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The Best Resources to Learn Reinforcement LearningExplore some of the best (mostly free) tutorials, courses, books, and more on this ever-evolving fieldLearning Robot — [image by Author, generated by Midjourney AI]IntroductionReinforcement learning (RL) is a paradigm of AI methodologies in which
Mathematical Optimization Heuristics Every Data Scientist Should Know
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Searching for the best solution (on the highest top). Image by Dall-E 2.Local search, genetic algorithms, and more.There are many different ways to solve mathematical optimization problems. You can use greedy algorithms, constraint programming, mixed integer programming,
Limitations of automation orchestrators and the rise of automation optimization
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Without a doubt, one of the key drivers of the Fourth Industrial Revolution is Robotic Process Automation (RPA). Organizations worldwide have increasingly leveraged RPA technology and are now adopting multi-vendor strategies for a multitude of enterprise au
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations
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Posted by Wenhao Yu, Research Scientist, Robotics at Google, and Kuang-Huei Lee, Research Engineer, Google Research, Brain team Evolution strategy (ES) is a family of optimization techniques inspired by the ideas of natural selection: a population of c
Constraint Programming Explained
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Graph coloring problem interpretation, painted by Dall-E 2.The core of a constraint programming solver and the relationship with mixed integer programmingThere are many different ways to define and solve optimization problems. You can e.g. use greedy algorit
Cloudsplaining - An AWS IAM Security Assessment Tool That Identifies Violations Of Least Privilege And Generates A Risk-Prioritized Report
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Cloudsplaining is an AWS IAM Security Assessment tool that identifies violations of least privilege and generates a risk-prioritized HTML report.Example reportDocumentationFor full documentation, please visit the project on ReadTheDocs.InstallationCheat sheetExample reportO