Interesting Engineering

US researchers build fall-safe biped robots to advance real-world reinforcement learning

HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...

Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...
Forbes

Beyond Background Checks: Building A Dynamic Insider Threat Program That Evolves With Your Workforce

The term "insider threat" conjures up images of an employee focused on stealing proprietary information or sabotaging the company in some way. While these malicious insiders certainly exist, it's also ...
marktechpost

Liquid AI’s LFM2-2.6B-Exp Uses Pure Reinforcement Learning RL And Dynamic Hybrid Reasoning To Tighten Small Model Behavior

Liquid AI has introduced LFM2-2.6B-Exp, an experimental checkpoint of its LFM2-2.6B language model that is trained with pure reinforcement learning on top of the existing LFM2 stack. The goal is ...
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 ...
GitHub

mfzhang/20251113-Stochastic-Control-for-Continuous-Time-Portfolios----Deep-Reinforcement-Learning

Welcome to the Stochastic Control for Continuous Time Portfolios project! This application uses Deep Reinforcement Learning to help you manage your investments smartly. You will learn how to adapt ...
manilastandard

Dynamic Learning Program gains nomentum in DepEd teacher training

To make the Philippine education system more resilient and inclusive, the Department of Education is accelerating the nationwide rollout of the Central Visayan Institute Foundation Dynamic Learning ...
Frontiers

Reinforcement learning control method for greenhouse vegetable irrigation driven by dynamic clipping and negative incentive mechanism

Greenhouse vegetable production was a complex agricultural system influenced by multiple interrelated environmental and management factors. Its irrigation control was a critical but not singularly ...
The Robot Report

AgiBot deploys its Real-World Reinforcement Learning system

AgiBot announced a key milestone this week with the successful deployment of its Real-World Reinforcement Learning system in a manufacturing pilot with Longcheer Technology. The pilot project marks ...
marktechpost

Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard Problems

How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers from Google Cloud AI Research and UCLA have released a ...