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Hierarchical reinforcement learning boosts air defense efficiency

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
Medical Xpress

New look at dopamine signaling suggests neuroscientists' model of reinforcement learning may need to be revised

Dopamine is a powerful signal in the brain, influencing our moods, motivations, movements, and more. The neurotransmitter is crucial for reward-based learning, a function that may be disrupted in a ...

New OpenAI research explores how reinforcement learning can make AI systems more aligned and resilient

OpenAI researchers have published a new study examining whether reinforcement learning (RL) can be used not only to improve ...
Nature

Behavior engineering using quantitative reinforcement learning models

For generations, people have been using folk physics, a qualitative, intuitive understanding of the laws of nature, in order to construct tools and structures. Over the past several centuries, the ...
Nature

Reinforcement learning-driven model predictive control for optimizing counter-rotating permanent magnet synchronous motor in submarine propulsion system

Counter Rotating Permanent Magnet Synchronous Motors (CRPMSM) are increasingly favored in underwater application due to their high torque density, efficiency and ability to cancel out yaw inducing ...
VentureBeat

MiniMax-M1 is a new open source model with 1 MILLION TOKEN context and new, hyper efficient reinforcement learning

Chinese AI startup MiniMax, perhaps best known in the West for its hit realistic AI video model Hailuo, has released its latest large language model, MiniMax-M1 — and in great news for enterprises and ...
Morningstar

CoreWeave Sandboxes Launches to Accelerate Reinforcement Learning, Agent Tool Use, and Model Evaluation

Secure, isolated environments for running AI tool use and evaluation at scale CoreWeave, Inc. (Nasdaq: CRWV), The Essential Cloud for AI™, today announced CoreWeave Sandboxes, an execution layer that ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
EurekAlert!

Offline model-based reinforcement learning with causal structured world models

The architecture of FOCUS. Given offline data, FOCUS learns a $p$ value matrix by KCI test and then gets the causal structure by choosing a $p$ threshold. After ...
EurekAlert!

Exploiting large language model with reinforcement learning for generative job recommendations

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...