GitHub

Train multi-step agents for real-world tasks using GRPO.

RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
IEEE

A Hybrid Method Based on Multi-Agent Reinforcement Learning and Integer Programming for Dynamic Slab Design Problems in Steel Industry

Abstract: This paper investigates a dynamic slab design problem in the steel industry, where order demands arrive dynamically during a given period. Slabs are the raw materials for producing order ...
The Register on MSN

Strong Java LTS arrives with the release of 25

But efforts to simplify popular programming language for beginners are unlikely to boost popularity Oracle has released JDK ...
GitHub

LangGraph Multi-Agent Swarm

A Python library for creating swarm-style multi-agent systems using LangGraph. A swarm is a type of multi-agent architecture where agents dynamically hand off control to one another based on their ...
IEEE

Multi-Objective Genetic Programming Assisted Stochastic Deep Reinforcement Learning for Dynamic Knowledge Integration in Transportation Networks

Abstract: Transportation Networks (TNs) play a critical role in economic and social systems, yet the dynamic nature and inherent heterogeneity of TN data pose challenges for Dynamic Knowledge ...