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Mohammad Hajiaghayi
เข้าร่วมเมื่อ 14 มิ.ย. 2009
Instagram@mhajiaghayi, Twitter@MTHajiaghayi,
LinkedIn@Mohammad Hajiaghayi
Wiki@Mohammad Hajiaghayi
LinkedIn@Mohammad Hajiaghayi
Wiki@Mohammad Hajiaghayi
Lesson 23: Computational Game Theory by Mohammad Hajiaghayi: Coalition Game Theory
In this session, we talk about coalition game theory and their tools and techniques.
มุมมอง: 23
วีดีโอ
Lesson 22: Computational Game Theory by Mohammad Hajiaghayi: Online Auctions for Dynamic Environment
มุมมอง 19วันที่ผ่านมา
In this session, we continue auctions and in particular we talk about online auctions for dynamic environment.
Lesson 21: Computational Game Theory by Mohammad Hajiaghayi: More Auctions: First and Second Price
มุมมอง 3914 วันที่ผ่านมา
In this session, we talk more about auctions and in particular first-price auctions and second-price auctions.
Lesson 20: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Auctions & Ad Auctions
มุมมอง 2521 วันที่ผ่านมา
In this session, we talk about auctions and their different types in particular advertisement auctions.
Lesson 18: Computational Game Theory by Mohammad Hajiaghayi: Repeated Games
มุมมอง 54หลายเดือนก่อน
This session explored the concept of repeated games, their representations, expanding on earlier discussions about game theory, stable solutions, and perfect versus imperfect information games. The key focus was on how repeated games, where the same stage game is played multiple times, model real-world situations more accurately than one-shot games. In particular, many real-world scenarios, lik...
Lesson 17: Computational Game Theory by Mohammad Hajiaghayi: Imperfect Information Games
มุมมอง 59หลายเดือนก่อน
In this session, we introduce imperfect information games. More precisely, this lecture delves into the concept of imperfect information in game theory, contrasting it with perfect information games. In previous discussions, normal form games and equilibrium concepts such as Nash equilibrium and subgame perfect equilibrium were introduced, with a focus on how decisions unfold over time. Perfect...
Lesson 16: Computational Game Theory by Mohammad Hajiaghayi: Pruning Algorithms for Game Tree Search
มุมมอง 68หลายเดือนก่อน
In this session, we talk continue talking about game tree search and pruning algorithms. More specifically, in this lecture we continue exploring game tree search and pruning algorithms, focusing on the Minimax algorithm and its application in perfect information zero-sum games like chess, checkers, and Go. The discussion starts with a review of the Minimax Theorem, game trees, and the concepts...
Lesson 15: Computational Game Theory by Mohammad Hajiaghayi: Game Tree Search
มุมมอง 38หลายเดือนก่อน
In this session, we talk about game tree search algorithms. In particular this lecture covers several key concepts in game theory, starting with subgame perfect equilibrium and solution concepts such as Nash equilibrium and correlated equilibrium. The lecture also introduces the Minimax Theorem, emphasizing its relevance in zero-sum games and the transition to extensive form games, where strate...
Lesson 14: Computational Game Theory by Mohammad Hajiaghayi: Perfect Information Extensive Form Game
มุมมอง 1262 หลายเดือนก่อน
In this session, we talk about Perfect Information Extensive Form games and their pure and mixed strategies. More precisely, the focus shifts from normal form games to extensive form games, which are particularly useful for representing games with perfect information like chess or Go. Extensive form games use a tree structure to show the sequence of decisions made by players, which provides a c...
Lesson 12: Computational Game Theory by Mohammad Hajiaghayi: Rationalizability Correlated Equilibria
มุมมอง 792 หลายเดือนก่อน
In this session, we talk about rationalizability and correlated equilibria. More precisely, the discussion centers around two key concepts in game theory: rationalizability and correlated equilibrium. Both are generalizations of Nash equilibrium, providing different ways to understand strategic decision-making. Rationalizability focuses on a strategy being justifiable for a rational agent if it...
Lesson 11: Computational Game Theory by Mohammad Hajiaghayi: Price of Anarchy and Braess's Paradox
มุมมอง 562 หลายเดือนก่อน
In this session, we talk about Price of Anarchy (PoA) and Braess's Paradox. The "price of anarchy" refers to the inefficiency that arises when individual agents in a system act selfishly, without central coordination, leading to suboptimal outcomes. This concept contrasts with a more controlled or centralized system, such as one governed by a dictator or central authority, where decisions aim t...
Lesson 24: Network Algorithms and Approximations by Mohammad Hajiaghayi:Steiner Tree (Peyman Jabbar)
In this session, our guest lecturer Peyman Jabbarzade talk about basic (primal-dual) algorithms for Steiner Tree and its generalizations Steiner Forest, Prize-Collecting Steiner Tree, Prize-Collecting Steiner Forest, and k-MST.
Lesson 10: Computational Game Theory by Mohammad Hajiaghayi: Ɛ-Nash Equilibria and Dominant Strategy
มุมมอง 813 หลายเดือนก่อน
In this session, we talk about Ɛ-Nash equilibria and dominant strategies in games. More precisely, we revisit the concept of Nash Equilibrium (Nash EQ) and its computational complexity, introducing the idea of Epsilon Nash Equilibrium. Epsilon Nash offers a practical approach to understanding strategic decision-making, where players are satisfied with their current strategies as long as the gai...
Lesson 9: Computational Game Theory by Mohammad Hajiaghayi: Finding Nash Equilibria
มุมมอง 2353 หลายเดือนก่อน
In this session, we discuss different algorithms for finding Nash equilibria. In particular, we continue our analysis of games, focusing on the tools and concepts essential for understanding game theory. We discuss solution concepts, which are stable situations or settlements between players, and dive deeper into Pareto optimality, a strategy profile where no player can be made better off witho...
Lesson 8: Computational Game Theory by Mohammad Hajiaghayi: Best Response and Nash Equilibrium
มุมมอง 943 หลายเดือนก่อน
Lesson 8: Computational Game Theory by Mohammad Hajiaghayi: Best Response and Nash Equilibrium
Lesson 7: Computational Game Theory by Mohammad Hajiaghayi: Analyzing Normal Form Games
มุมมอง 333 หลายเดือนก่อน
Lesson 7: Computational Game Theory by Mohammad Hajiaghayi: Analyzing Normal Form Games
Lesson 6: Computational Game Theory by Mohammad Hajiaghayi: Important Normal Form Games
มุมมอง 434 หลายเดือนก่อน
Lesson 6: Computational Game Theory by Mohammad Hajiaghayi: Important Normal Form Games
Lesson 5: Computational Game Theory by Mohammad Hajiaghayi: Normal Form Games
มุมมอง 504 หลายเดือนก่อน
Lesson 5: Computational Game Theory by Mohammad Hajiaghayi: Normal Form Games
Lesson 4: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Linear Programming
มุมมอง 794 หลายเดือนก่อน
Lesson 4: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Linear Programming
Lesson 3: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part2
มุมมอง 464 หลายเดือนก่อน
Lesson 3: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part2
Lesson 2: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part1
มุมมอง 974 หลายเดือนก่อน
Lesson 2: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part1
Lesson 1: Computational Game Theory by Mohammad Hajiaghayi: Introduction and Motivation
มุมมอง 2205 หลายเดือนก่อน
Lesson 1: Computational Game Theory by Mohammad Hajiaghayi: Introduction and Motivation
Lesson 13: Computational Game Theory by Mohammad Hajiaghayi: Maximin and MiniMax Strategy
มุมมอง 165 หลายเดือนก่อน
Lesson 13: Computational Game Theory by Mohammad Hajiaghayi: Maximin and MiniMax Strategy
Lesson 13: Principles of Data Science by Mohammad Hajiaghayi: Data Science Ethics and Best Practices
มุมมอง 815 หลายเดือนก่อน
Lesson 13: Principles of Data Science by Mohammad Hajiaghayi: Data Science Ethics and Best Practices
Lesson 12: Principles of Data Science by Mohammad Hajiaghayi: Information Visualization
มุมมอง 1345 หลายเดือนก่อน
Lesson 12: Principles of Data Science by Mohammad Hajiaghayi: Information Visualization
Lesson 10: Principles of Data Science by Mohammad Hajiaghayi: Entity Resolution, Missing Data
มุมมอง 696 หลายเดือนก่อน
Lesson 10: Principles of Data Science by Mohammad Hajiaghayi: Entity Resolution, Missing Data
Lesson 9: Principles of Data Science by Mohammad Hajiaghayi: Data Wrangling and Cleaning
มุมมอง 4666 หลายเดือนก่อน
Lesson 9: Principles of Data Science by Mohammad Hajiaghayi: Data Wrangling and Cleaning
Lesson 8: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling, SQL & NoSQL
มุมมอง 1546 หลายเดือนก่อน
Lesson 8: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling, SQL & NoSQL
Lesson 7: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling & Computation Tools
มุมมอง 1427 หลายเดือนก่อน
Lesson 7: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling & Computation Tools
Lesson 6: Principles of Data Science by Mohammad Hajiaghayi: Data Collection and Loading Tools
มุมมอง 1007 หลายเดือนก่อน
Lesson 6: Principles of Data Science by Mohammad Hajiaghayi: Data Collection and Loading Tools
Thanks a lot.
Amazing
AMAZING
Perfect
Amazing
ممنون از اینکه چقت گذاشتین خیلی لذت بردیم ❤
❤❤
love it .. i will try to comment on every video i finish
Please add English subtitles.
10 steps what ? line of code? If yes, why quantum would take so much more lines to do the same task?
🙏useful, thanks a lot
This course is great ,I appreciate that
This course is great ,I appreciate that
14:00
❤
180+ days.. Please post it soon sir
درود بر شما جناب دکتر ، خیلی از شما یادگرفتم ❤🙏🌺
Your explanation is easy to understand,thanks
Please keep uploading videos It will be helpful for us.
Thank you for this series.....I am not able visit US but getting to learn such deep content seating in small village of India
"PromoSM"
Thanks for this informative lecture sir. please update the lecture notes on your website sir
Thank you very much for sharing. I think there must some sort of exploration even before preprocessing such that we can get an insight on the overall distribution, dimensions and ranges.
❤❤
شما باعث افتخار ایران و ایرانی هستید 💎💎
Perfection
Ok
دوس داشتم خیلی جالب بود
🤘 P R O M O S M
حاجی دیمت گرم من همش فکر میکردم ارزشی هسی از بس شبیه بسیجیا حرف میزنی تا اینکه اون بالا اسم دکتر زیبا کلامو دیدم:)
واقعا دمتون گرم خیلییی لذت بردم با اینکه حوزه کامپيوتر هم نیستم ولی از بحثش لذت بردم کنجکاو شدم برم بخونم ❤❤
تنها مشکل این لایو صدا و تصویر بود.
The Acceptance Process for the Emergence of the MRJ-1-5 Model This model is a descriptive model that describes the acceptance processes for the emergence of a matter or phenomenon in existence. It provides operational guidance for analysis. Any matter or phenomenon that acquires the capability of continuous emergence, nurturing, and transformation in existence through specific processes and procedures is intelligently identified, chosen, and accepted by existence itself (or artificial intelligence) and gains the capability of being accepted for emergence in existence. "Every matter or phenomenon in the process of acquisition of acceptance capability for its emergence in existence goes through the following stages: 1- Initiation The emergence of a new subject is raised in the context of needs and current issues (shortcomings, deficiencies, needs) in feelings and thoughts. 2- Manifestation The structures become apparent in the light of existing solutions and resources, making their manifestation possible. 3- Establishment At this stage, principles, values, goals, etc., are specified and the relevant matter or phenomenon is established. 4- Erection At this stage, the matter or phenomenon is in progress and underway. 5- Rise At this stage, the matter or phenomenon shows itself, and its capabilities are being revealed. 6- Attainment At this stage, the matter or phenomenon has grown to a necessary extent and reaches acceptable dimensions and sizes. 7- Expandability At this stage, the matter or phenomenon becomes expandable in quantity, developable in quality, and open to diversity. 8- Reproducibility At this stage, the matter or phenomenon accepts necessary changes and becomes reproducible." The use of MRJ-1-5 model is entirely free, with proper citation of the source. Thank you for the time you've provided.
good course
Interesting video, thank you for letting us know more about Prof Shree Nayar
مرسی واسه این لایو خوبوآموزنده با این که اصلا توشاخه تحصیلی وکاریمننبوداما توشکلی نکات آموزنده بود که یاد گرفتم 🙏 اینجمله “خوندن وفکرکردن باید با همدر تعامل باشن” در اوج سادگی خیلی مهم بود فکرمیکنم. 🙏
Kudos to your effort for providing free and excellent resources to the community
Great talk! Full of energy and confidence.
fantastic!
از فردوسی مشهد🙂
❤❤❤❤❤
Dear Prof. Hajiaghayi, thank you for making your excellent recordings public. Maybe you should make playlists for the two classes for which you have recordings?
Yesterday I have created playlists for every course as well as other educational videos on the channel
@@hajiaghayi Merci khoob Professor!
It is an interesting video. However, the content is old. I know a better solution, there is a 13-year-old boy has found the final solution for the integer partition problem. please check these links: th-cam.com/video/8YIslPFOB84/w-d-xo.html ijcionline.com/paper/12/12423ijci06.pdf
Perfect
Thank you sir for this video.❤❤❤
awesome Dr., thanks for it
You're a world class scientist. Don't do this. This is horrible. The notes are a disaster, so is the rest of your presentation skills. Do science man, leave the teaching to others.
Great interview! Thank you for the upload.
دست خط عالی، اسلایدهای مناسب و قابل فهم و ... همه موارد یک ایرانی کامل در یک پکیج جمع شده
nice