marktechpost

How Exploration Agents like Q-Learning, UCB, and MCTS Collaboratively Learn Intelligent Problem-Solving Strategies in Dynamic Grid Environments

In this tutorial, we explore how exploration strategies shape intelligent decision-making through agent-based problem solving. We build and train three agents, Q-Learning with epsilon-greedy ...
C&EN

Hierarchical Reinforcement Learning with Dynamic Meta Agent for Adaptive Cut Selection in Integer Programming with Applications to Sensor Network Design

Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India Indian Institute of Technology Delhi-Abu Dhabi, Khalifa City B 20010, Abu Dhabi, UAE ...
C&EN

Programming Ion Gating and Dynamic Response of Nanopores with Responsive Tetrahedral DNA Nanostructures

Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening, Pharmaceutical College, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, China Guangxi Key Laboratory of ...
GitHub

Subset Sum Hybrid Solver

A high-performance C# implementation of the classic NP-complete Subset Sum problem. Built as a research-driven exploration of computational complexity, this project applies advanced algorithmic ...
Quanta Magazine

Graduate Student Solves Classic Problem About the Limits of Addition

A new proof illuminates the hidden patterns that emerge when addition becomes impossible. The simplest ideas in mathematics can also be the most perplexing. Take addition. It’s a straightforward ...
IEEE

Sum of Squares Polynomial Approximate Dynamic Programming for the Ergodic Problem

Abstract: The purpose of this note is to extend the Approximate Dynamic Programming (ADP) method to the infinite time stochastic optimal control (ergodic) problem. It is also shown that a modification ...