Gauss-Seidel Anchored Value Iteration and Its Benefits

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

How Approximate Anchored Value Iteration Handles Errors in Decision-Making Models

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

Anc-VI Sets a New Standard for Reinforcement Learning Optimization

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

Why Anc-VI is Crucial for Undiscounted Reinforcement Learning

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

How Anc-VI Helps AI Learn Faster with Optimality Operators

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

Anc-VI Sets New Standards in Speed for Bellman Consistency in Reinforcement Learning

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

Anchored Value Iteration and Its Impact on Bellman Consistency in Reinforcement Learning

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

How Prior Studies Have Advanced Value Iteration and Acceleration in Reinforcement Learning

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

Markov Decision Processes and Value Iteration in Reinforcement Learning

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

A Faster Path to Smarter AI: The New Anc-VI Method

:::info Authors: (1) Jongmin Lee, Department of Mathematical Science, Seoul National University; (2) Ernest K. Ryu, Department of Mathematical Science, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University. ::: Abstract and 1 Introduction 1.1 Notations and preliminaries 1.2 Prior works 2 Anchored Value Iteration 2.1 Accelerated rate for Bellman consistency operator … Read more

The Current State of Crypto Regulation In LatAm

With 33 countries, over 660 million people, and a combined GDP of over $5.8 trillion, Latin America has emerged as a major player in the crypto industry. In this article, we will look at the diverse crypto regulation environment in Latin America, as well as their immigration laws. Latin American countries are known for their … Read more

Pay Special Attention to Definitions When Solving a Problem

The Frame Defines the Picture I recently encountered a fascinating graphic puzzle. Trying to solve it brought to mind a concept frequently discussed in problem-solving and critical thinking. The puzzle is shown below. What is your answer? Problem-solving methods span a spectrum from unstructured to highly structured. Some individuals dive straight into the problem, while … Read more

Mastering Effect Programming in JavaScript with Generators and Deno

In my previous article, I discussed iterators and generators in JavaScript but did not provide any practical examples. With this article, I aim to fill this gap and demonstrate the specific pattern using generators through a simple web application. This article may also be helpful for those looking to understand how redux-saga works. Additionally, I … Read more

What It Takes for Quantum Computers to Mine Bitcoin Efficiently

Table of Links Abstract and I. Introduction A. Quantum Bitcoin Mining B. Our Contribution C. Comparison with Related Works D. Conventions II. Background A. Bitcoin Basics B. Bitcoin Security C. Grover’s Search Algorithm D. Quantum Attacks III. Approach A. Algorithm B. Markov Chain C. Assumptions and Approximations IV. Results A. Probability of Success B. Performance … Read more

Good Market Launches No-Code Trading Platform To Address Retail Traders’ $2.1 Trillion Challenge

LONDON, London, January 14th, 2025/Chainwire/–Good Market, built by fintech veterans from M2 Exchange and Freetrade, introduces a new trading platform that combines AI-driven trading with human-centered design. The platform enters closed beta testing with an initial group of 500+ traders, targeting a significant reduction in emotional trading errors – a key factor in the well-documented … Read more

Koni Stack Partners With Mythical Games To Launch ‘Football Rivals’ On Telegram

Hanoi, Vietnam, January 14th, 2025/Chainwire/–Koni Stack, the platform that accelerates next-generation Web3 decentralized applications (dApps) with unified, end-to-end solutions, has announced an innovative partnership with Mythical Games to launch Football Rivals, a new toss-up game designed to bring billions of Telegram users into the Polkadot ecosystem. The game is built using Koni Stack’s cutting-edge mini … Read more

Purple Bitcoin ($PBTC): A Community-Driven Token Designed For Investors And Built For Growth

NEW YORK CITY, United States, January 14th, 2025, Chainwire/–Purple Bitcoin($PBTC) is an emerging new token set to redefine the digital asset space. Built on the Solana blockchain, PBTC combines Bitcoin’s store-of-value principles with Solana’s cutting-edge blockchain advancements. Its deflationary design and community-focused approach provide a uniquely balanced offering within the cryptocurrency ecosystem.Purple Bitcoin distinguishes itself … Read more

How Do Banks Predict Expected Credit Losses?

Assessment of Credit Portfolio Reserves is one of the tasks I have worked on extensively throughout my professional practice. It is an interesting and complex challenge, which I will discuss in detail. In this article, I will explain what reserves are and why they are essential for banks, how banks assess reserves, and where machine … Read more

The Cost of Quantum Bitcoin Mining

Table of Links Abstract and I. Introduction A. Quantum Bitcoin Mining B. Our Contribution C. Comparison with Related Works D. Conventions II. Background A. Bitcoin Basics B. Bitcoin Security C. Grover’s Search Algorithm D. Quantum Attacks III. Approach A. Algorithm B. Markov Chain C. Assumptions and Approximations IV. Results A. Probability of Success B. Performance … Read more

Competition and Accountability: Exploring Leaderboard Effects on Physical Activity

:::info Authors: (1) Muhammad Zia Hydari, Katz Graduate School of Business, University of Pittsburgh and Corresponding author; (2) Idris Adjerid, Pamplin College of Business; (3) AAaron D. Striegel, Department of Computer Science and Engineering, University of Notre Dame. ::: Table of Links Abstract and 1 Introduction 2. Background and 2.1. Leaderboards 3. Effect of Leaderboards … Read more

Boosting Health with Fitbit Leaderboards: Daily Steps and Competitive Motivation

:::info Authors: (1) Muhammad Zia Hydari, Katz Graduate School of Business, University of Pittsburgh and Corresponding author; (2) Idris Adjerid, Pamplin College of Business; (3) AAaron D. Striegel, Department of Computer Science and Engineering, University of Notre Dame. ::: Table of Links Abstract and 1 Introduction 2. Background and 2.1. Leaderboards 3. Effect of Leaderboards … Read more

Fitbit Leaderboards: Surprising Gains for the Sedentary, Setbacks for the Highly Active

:::info Authors: (1) Muhammad Zia Hydari, Katz Graduate School of Business, University of Pittsburgh and Corresponding author; (2) Idris Adjerid, Pamplin College of Business; (3) AAaron D. Striegel, Department of Computer Science and Engineering, University of Notre Dame. ::: Table of Links Abstract and 1 Introduction 2. Background and 2.1. Leaderboards 3. Effect of Leaderboards … Read more

Hawk and Griffin: Efficient RNN Models Redefining AI Performance

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

RNNs vs. Transformers: Innovations in Scalability and Efficiency

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

Hawk and Griffin: Mastering Long-Context Extrapolation in AI

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

Griffin Model: Advancing Copying and Retrieval in AI Tasks

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

Hawk and Griffin Models: Superior Latency and Throughput in AI Inference

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

Recurrent Models: Enhancing Latency and Throughput Efficiency

:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and with Equal contributions; (3) Anushan Fernando, Google DeepMind and with Equal contributions; (4) Aleksandar Botev, Google DeepMind and with Equal contributions; (5) George Cristian-Muraru, Google DeepMind and with Equal contributions; (6) Albert Gu, Work done while at … Read more

The HackerNoon Newsletter: HackerNoon Decoded: How Users Searched in 2024 (1/14/2025)

How are you, hacker? 🪐 What’s happening in tech today, January 14, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, The First Outer Solar System Landing Occurred in 2005, NSA was reported using spyware on other countries in 2014, Net Neutrality took a big hit! in 2014, and … Read more