Oak Ridge National Lab

MARIE: A Python-Based Framework for Comprehensive Fuel Recycling Modeling

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
IEEE

Multi-Agent Reinforcement Learning Based on Dual Model Loss Prediction

Abstract: In recent years, Multi-Agent Reinforcement Learning (MARL) has made breakthrough progress, demonstrating superior collaborative capabilities over human experts in complex scenarios and ...
GitHub

Prover Agent: An Agent-Based Framework for Formal Mathematical Proofs

We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning ...
IEEE

Uncertainty-Aware Model-Based Multi-Agent Deep Reinforcement Learning for Robust Active Voltage Control

Abstract: The large-scale injection of new energy systems into active distribution networks (ADNs) has caused voltage violations, challenging the stable operation of power grids. Recently, deep ...