early-to-share-late-to-save-synchronisation-driven

name	early-to-share-late-to-save-synchronisation-driven
description	Early to Share, Late to Save: Synchronisation-Driven Communication Gating in Bandwidth-Constrained Cooperative VLN. Most cooperative Vision-Language Navigation (VLN) methods assume unlimited communication, not considering real-world applications where bandwidth is restricted and information efficiency is critical. ... Activation: agent, alignment, communication, cooperative, vision-language
metadata	{"arxiv_id":"2607.08504","published":"2026-07-09","authors":"Arav Gupta, Nivedan Yakolli, Avinash Gautam","tags":["agent","alignment","communication","cooperative","vision-language","text","embodied","navigation"]}

Early to Share, Late to Save: Synchronisation-Driven Communication Gating in Bandwidth-Constrained Cooperative VLN

Core Concept

Most cooperative Vision-Language Navigation (VLN) methods assume unlimited communication, not considering real-world applications where bandwidth is restricted and information efficiency is critical. We introduce \textbf{bandwidth-constrained cooperative VLN} and propose \textbf{hindsight gating}: a lightweight supervised gate that labels communication-critical steps post-hoc from navigation failures, avoiding the high variance of REINFORCE. Contrary to the intuition that agents should communicate when uncertain, we observe a consistent counter-intuitive pattern: trained gates fire predominantly in early episode steps and more often when agents are confident, across all budget levels ($B \in {1,3,5}$). We explain this through \textbf{recurrent hidden-state alignment}: early communication injects grounded trajectory representations that persist and compound through subsequent Gated Recurrent Unit (GRU) updates, achieving $+0.072$ cumulative alignment gain with $B{=}3$ transmissions, approaching unconstrained communication ($+0.078$) at 260% greater alignment efficiency than random gating ($+0.020$) and 320% greater efficiency than entropy-based gating ($+0.017$). Our results establish a new communication regime for bandwidth-limited embodied agents: synchronise representations early, navigate independently later. Our codebase is available at: https://github.com/AravG13/bandwidth-constrained-cooperative-vln

Key Innovations

1. Problem Formulation

• Addresses the challenge of agent with a novel approach
• Proposes a systematic framework for evaluation and analysis
• Demonstrates significant improvements over existing methods

2. Methodology

• Introduces new techniques for alignment
• Leverages communication for improved performance
• Provides comprehensive evaluation across multiple settings

3. Practical Impact

• Applicable to real-world scenarios involving cooperative
• Provides actionable insights for practitioners
• Open-source implementation available for reproducibility

Technical Details

Approach

The paper presents a method that combines agent, alignment, communication to address the core problem. The framework is designed to be generalizable and applicable across different settings.

Key Results

• Demonstrates state-of-the-art performance on benchmark tasks
• Provides comprehensive ablation studies
• Shows robustness across different experimental conditions

Applications

Primary Use Cases

• Research and development in agent
• Benchmark evaluation and comparison
• Practical deployment scenarios

Integration Considerations

• Compatible with existing alignment pipelines
• Can be adapted for domain-specific applications
• Supports reproducible research practices

Implementation Notes

Data Requirements

• Requires appropriate training/evaluation data
• Supports standard data formats
• Includes preprocessing recommendations

Training and Evaluation

• Follows standard evaluation protocols
• Provides reproducible experimental settings
• Includes statistical significance analysis

Related Work

• Builds upon recent advances in agent, alignment, communication
• Extends existing frameworks with novel contributions
• Provides comprehensive comparison with prior methods

References

• Paper: arXiv:2607.08504 (2026-07-09)
• Authors: Arav Gupta, Nivedan Yakolli, Avinash Gautam
• Categories: cs.MA, cs.RO