A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

Abstract: We aim at creating a transfer reinforcement learning framework that allows the design of learning controllers to leverage prior knowledge extracted from previously learned tasks and previous ...

Problems involving controlling the collective behavior of a population of structurally similar dynamical systems, the so-called ensemble control, arise in diverse emerging applications and pose a ...

In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy when it ...

First, we examine model architectures that employ either direct language models (LM) for prompt generation or combine reinforcement learning with language models (LM-RL). Second, we investigate ...