Free Download Reinforcement Learning for Operations Research ProblemsPublished 7/2023
Created by Hadi Aghazadeh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 60 Lectures ( 7h 13m ) | Size: 2.34 GB
Harness the power of Reinforcement Learning to solve some of humanity's toughest challenges!
What you'll learn
Reinforcement Learning Fundamentals: Understand the core principles and significance of Reinforcement Learning in solving complex AI challenges.
Dynamic Programming for Resource Allocation: Develop a Policy Iteration framework to optimize resource allocation, maximizing overall performance.
Optimize Inventory Management and Route Planning: Implement Q-Learning agents to tackle inventory optimization and route planning, finding the best strategies.
Custom Environments for Deep Reinforcement Learning: Design and build customized environments to train Deep RL models for real-world route planning problem.
Deep Q-Networks (DQN) in Action: Apply DQN to solve a real-world route planning problem, experiencing the power of Deep RL in practice.
Requirements
A foundational understanding of Python programming is recommended to enhance comprehension and proficiency in the coding section.
Description
Are you ready to unlock the full potential of Artificial Intelligence? Join our exciting course on Udemy where we dive into the world of Reinforcement Learning, the driving force behind countless AI breakthroughs that simplify our lives. Now, it's time to harness this powerful technology and apply it to some of the most challenging problems humanity faces.In both industry and personal pursuits, planning and scheduling problems present formidable obstacles due to their complex nature. But fear not! Reinforcement Learning offers a solution to break through these barriers and optimize operations, driving costs down and making the world a better place to live.If you're captivated by the wonders of operations research, from resource allocation and production planning to inventory optimization and route finding, then this course is tailor-made for you. Learn to wield the impressive capabilities of Reinforcement Learning algorithms and tackle these real-world challenges with confidence.Our comprehensive course takes you on an enlightening journey through the theory of Reinforcement Learning, unraveling its connections with operations research problems. With a clear understanding of the theory, we'll delve into hands-on coding exercises, building everything from scratch using Python and essential libraries.Why settle for passive learning when you can achieve mastery through practice? You'll implement all codes from scratch, ensuring a deep comprehension of the material and enhancing your problem-solving skills.Starting with dynamic programming, we'll tackle resource allocation, and then move on to inventory optimization and route planning using Q-learning. As we progress, we'll take on the ultimate challenge: applying deep reinforcement learning in a real-world project from the ground up. Designing the environment from scratch and employing the cutting-edge PyTorch framework for Deep Learning, you'll gain the confidence to tackle any operations research problem using Reinforcement Learning.By the end of this course, you'll be equipped to apply Reinforcement Learning to any operations research problem, thanks to your solid grasp of its unique structure and its practical applications. Join us on this exciting journey and let's learn together, transforming the way we approach complex problem-solving!Are you ready to embark on this thrilling adventure? Enroll now and take the first step toward becoming a Reinforcement Learning expert!
Who this course is for
Applied Data Scientists
Machine Learning Developers
Operations Research Specialists
Data Analysts
Planning and Scheduling Specialists
Homepage
https://www.udemy.com/course/reinforcement-learning-for-operations-research-problems/
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