Derived from arXiv:2607.17914 - Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill value-aware-prediction-for-robust-multi-agent-coor --agent claude-codeInstalls into .claude/skills of the current project.
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# Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss
Derived from arXiv:2607.17914 - Value-Aware Prediction for Robust Multi-Agent Coordination Under Communication Loss
## Core Concept
Robust multi-agent coordination relies heavily on inter-agent communication, which is frequently disrupted by physical and environmental constraints in real-world deployments. To maintain operation during these intermittent communication failures, agents can employ internal prediction models to estimate missing shared state information. However, predictors trained with standard reconstruction objectives treat all transitions equally. In a Reinforcement Learning context, this forces the model to ...
## Key Insights
- Derived from arXiv:2607.17914
- Published: 2026-07-20
- Utility Score: 1.00
- Authors: Kemal Devrim Kafadar, Eren Özaltun, Mahmud Efnan Şanlı et al.
## Activation
value-aware-prediction-for-robust-multi-agent-coor, 2607.17914
## References
- arXiv: https://arxiv.org/abs/2607.17914
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