MIMIC-D enables multi-modal multi-agent coordination via joint training of decentralized diffusion policies using only local information.
Multi-agent reinforcement learning: Independent vs. cooper- ative agents
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
citing papers explorer
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MIMIC-D: Multi-modal Imitation for MultI-agent Coordination with Decentralized Diffusion Policies
MIMIC-D enables multi-modal multi-agent coordination via joint training of decentralized diffusion policies using only local information.
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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.