Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Holding on to yesterday’s content strategy doesn’t just slow you down. It actively undermines your visibility, credibility, ...

Implementation and visualisation of multiple classical linear calibration methods for a single image.This repo aims to provide as many single image calibration methods as possible for linear pinhole ...

The Capacitated Centered Clustering Problem (CCCP) is NP-hard and has many practical applications. In recent years, many excellent CCCP solving algorithms have been proposed, but their ability to ...

Most policy search (PS) algorithms require thousands of training episodes to find an effective policy, which is often infeasible with a physical robot. This survey article focuses on the extreme other ...

Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper explains the contribution ...