A general framework for multi-agent control that achieves decentralization without dynamical coupling and provides convergence guarantees for time-varying objectives, demonstrated on formation control, coverage, and safe navigation.
Theory of ordinary differential equations,
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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CDPIR integrates cross-distribution diffusion priors from a Scalable Interpolant Transformer trained with classifier-free guidance into model-based iterative reconstruction to improve sparse-view CT under out-of-distribution conditions.
citing papers explorer
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Disentangled Control of Multi-Agent Systems
A general framework for multi-agent control that achieves decentralization without dynamical coupling and provides convergence guarantees for time-varying objectives, demonstrated on formation control, coverage, and safe navigation.
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Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT
CDPIR integrates cross-distribution diffusion priors from a Scalable Interpolant Transformer trained with classifier-free guidance into model-based iterative reconstruction to improve sparse-view CT under out-of-distribution conditions.