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 ...
IEEE

A Differential Dynamic Programming Framework for Inverse Reinforcement Learning

Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
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DeepSeek R1: GRPO, Reinforcement Learning & SFT Explained

In this video, we break down the core training theory behind DeepSeek R1 — including General Reinforced Preference Optimization (GRPO), Reinforcement Learning (RL), and Supervised Fine-Tuning (SFT). A ...
Forbes

Will Reinforcement Learning Take Us To AGI?

Nearly a century ago, psychologist B.F. Skinner pioneered a controversial school of thought, behaviorism, to explain human and animal behavior. Behaviorism directly inspired modern reinforcement ...
Scientific Research Publishing

Reinforcement Learning for Dynamic and Predictive CPU Resource Management in Cloud Computing ()

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...
IEEE

Research on Adaptive Education Path Dynamic Programming Algorithm Based on Reinforcement Learning and Cognitive Graphs

Abstract: The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student.
Wall Street Journal

AI Is Learning to Escape Human Control

An artificial-intelligence model did something last month that no machine was ever supposed to do: It rewrote its own code to avoid being shut down. Nonprofit AI lab Palisade Research gave OpenAI’s o3 ...
Forbes

The Autonomous Advantage: Reinforcement Learning’s Role In The Next Era Of AI

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...
Scientific Research Publishing

Zhang, J. and Lei, Y. (2022) Deep Reinforcement Learning for Stock Prediction. Scientific Programming, 2022, 1-9.

ABSTRACT: Accurate prediction of stock prices remains a fundamental challenge in financial markets, with substantial implications for investment strategies and decision making. Although machine ...