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Meanings and Measurements: Multi-Agent Probabilistic Grounding for Vision-Language Navigation

Swagat Padhan, Lakshya Jain, Bhavya Minesh Shah, Omkar Patil, Thao Nguyen, Nakul Gopalan · Mar 19, 2026

Citations: 0

Match reason: Matches selected tags (Multi Agent, Demonstrations).

Score: 58% High protocol signal Freshness: Warm Status: Ready
Demonstrations Simulation Env Multi Agent General
  • To address this limitation, we propose MAPG (Multi-Agent Probabilistic Grounding), an agentic framework that decomposes language queries into structured subcomponents and queries a VLM to ground each component.
  • We evaluate MAPG on the HM-EQA benchmark and show consistent performance improvements over strong baselines.
Open paper
SPACeR: Self-Play Anchoring with Centralized Reference Models

Wei-Jer Chang, Akshay Rangesh, Kevin Joseph, Matthew Strong, Masayoshi Tomizuka, Yihan Hu · Oct 20, 2025

Citations: 0

Match reason: Matches selected tags (Multi Agent, Demonstrations).

Score: 53% Moderate protocol signal Freshness: Cold Status: Ready
Demonstrations Simulation Env Multi Agent General
  • Developing autonomous vehicles (AVs) requires not only safety and efficiency, but also realistic, human-like behaviors that are socially aware and predictable.
  • Achieving this requires sim agent policies that are human-like, fast, and scalable in multi-agent settings.
Open paper
LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination

Ziming Zhu, Chenglong Wang, Haosong Xv, Shunjie Xing, Yifu Huo, Fengning Tian · Aug 26, 2025

Citations: 0

Match reason: Matches selected tags (Multi Agent, Demonstrations).

Score: 53% High protocol signal Freshness: Cold Status: Ready
Demonstrations Automatic Metrics Multi Agent MathCoding
  • In this paper, we introduce LaTeXTrans, a collaborative multi-agent system designed to address this challenge.
  • LaTeXTrans ensures format preservation, structural fidelity, and terminology consistency through six specialized agents: 1) a Parser that decomposes LaTeX into translation-friendly units via placeholder substitution and syntax filtering; 2)…
Open paper
Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning

Ruize Zhang, Sirui Xiang, Zelai Xu, Feng Gao, Shilong Ji, Wenhao Tang · May 7, 2025

Citations: 0

Match reason: Matches selected tags (Multi Agent, Demonstrations).

Score: 53% High protocol signal Freshness: Cold Status: Ready
Demonstrations Automatic Metrics Long Horizon General
  • The task is turn-based, multi-agent, and physically grounded, posing significant challenges due to its long-horizon dependencies, tight inter-agent coupling, and the underactuated dynamics of quadrotors.
Open paper
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play

Zelai Xu, Ruize Zhang, Chao Yu, Huining Yuan, Xiangmin Yi, Shilong Ji · Feb 4, 2025

Citations: 0

Match reason: Matches selected tags (Multi Agent, Demonstrations).

Score: 53% High protocol signal Freshness: Cold Status: Fallback
Demonstrations Automatic MetricsSimulation Env Multi Agent General
  • We provide a comprehensive suite of tasks ranging from single-drone drills to multi-drone cooperative and competitive tasks, accompanied by baseline evaluations of representative reinforcement learning (RL), multi-agent reinforcement…
  • Simulation results show that on-policy RL methods outperform off-policy methods in single-agent tasks, but both approaches struggle in complex tasks that combine motion control and strategic play.
Open paper

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