EurekAlert!

AI boosts understanding of ocean dynamics and marine structure safety

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
kr-asia

What will define AI? AReaL head Yi Wu points to reinforcement learning

Wu Yi, head of the AReaL project. Photo source: Wu Yi. His work on reinforcement learning and embodied agents is part research, part startup, and all about learning by doing. Whether in academic ...
Sports Illustrated

Jaguars Could Get Much-Needed Defensive Reinforcement vs. Titans

At first glance, it might not seem like the Jacksonville Jaguars had a great defensive showing in Week 12's win over the Arizona Cardinals. After all, they allowed 24 points to Jacoby Brissett and ...
IEEE

Observations Temporal Permutation-Based Self-Supervised Reinforcement Learning for UAV Active Object Detection

Abstract: In passive ground target detection using Unmanned Aerial Vehicles (UAVs), some detrimental factors like occlusion significantly impact target detection performance. Active Object Detection ...
VentureBeat

Nvidia researchers boost LLMs reasoning skills by getting them to 'think' during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...
Nature

AI can learn to show its workings through trial and error

Large language models (LLMs) are more accurate when they output intermediate steps. A strategy called reinforcement can teach them to do this without being told. The researchers introduced a paradigm ...
marktechpost

A New MIT Study Shows Reinforcement Learning Minimizes Catastrophic Forgetting Compared to Supervised Fine-Tuning

What is catastrophic forgetting in foundation models? Foundation models excel in diverse domains but are largely static once deployed. Fine-tuning on new tasks often introduces catastrophic forgetting ...
Scientific Research Publishing

Wang, J., Liu, Y. and Li, B. (2020) Reinforcement Learning with Perturbed Rewards. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 6202-6209.

ABSTRACT: 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 ...
marktechpost

CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs

Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning (RL) and test-time scaling techniques. Despite outperforming traditional unit ...