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 ...
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 ...
GitHub

An AI Agent with optional Human-in-the-Loop Safety, Model Context Protocol (MCP) integration, and beautiful, themeable CLI output

Agent Loop is a command-line AI assistant. It leverages Anthropic's Claude or OpenAI's GPT models and a suite of powerful tools to automate, inspect, and manage your development environment—while ...