The DeepMind trio who built a poker AI are now making money for quant hedge funds

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...
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 ...
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 ...

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 ...
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 ...
the-decoder

RL agents go from face-planting to parkour when researchers keep adding network layers

An RL agent, by contrast, often gets only sparse feedback about whether it reached a goal or not. CRL teaches the agent a simple skill: to tell whether a move looks like part of a path that really ...
VentureBeat

Databricks built a RAG agent it says can handle every kind of enterprise search

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
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.
VentureBeat

Microsoft’s new AI framework trains powerful reasoning models with a fraction of the cost

Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...