2 papers
cs.CL2026
Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
Siddharth Srikanth, Varun Bhatt, Boshen Zhang +5
Understanding how humans collaborate and communicate in teams is essential for improving human-agent teaming and AI-assisted decision-making. However, relying solely on data from l…
cs.MA2024
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki +5
Multi-Agent Reinforcement Learning (MARL) methods have shown promise in enabling agents to learn a shared communication protocol from scratch and accomplish challenging team tasks.…