Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
Aerospace and Mechanical Insider on MSN

AI reinforcement learning tackles fusion plasma instabilities

The DIII-D National Fusion Facility in San Diego, operated by General Atomics, houses the largest and most advanced magnetic ...

AI Is Designing Radio Chips That Humans Couldn’t Even Imagine

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...
Aerospace and Mechanical Insider on MSN

Reinforcement learning tames confined cylinder wakes

In fluid dynamics, the wake behind a cylinder can exhibit complex vortex shedding, a phenomenon that becomes even more ...
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 ...
IEEE

A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation

Abstract: Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as possible ...
VentureBeat

Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...
IEEE

RL-Routing: An SDN Routing Algorithm Based on Deep Reinforcement Learning

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...
GitHub

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models

This GitHub repository contains the code, data, and figures for the paper RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models. Also includes the SCBC and RCE experiments ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
techxplore

AI teaches itself and outperforms human-designed algorithms

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
Nature

Discovering state-of-the-art reinforcement learning algorithms

In our framework, an RL rule is represented by a meta-network that determines the targets towards which the agent should move its predictions and policy (Fig. 1c). This allows the system to discover ...