MIMIC-D enables multi-modal multi-agent coordination via joint training of decentralized diffusion policies using only local information.
Towards imitation learning in real world unstructured social mini-games in pedestrian crowds,
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
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UNVERDICTED 2representative citing papers
GameChat enables multi-agent navigation via LLM dialogue, cutting travel time by 20-35% and ensuring priority agents reach goals first in simulations.
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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GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments
GameChat enables multi-agent navigation via LLM dialogue, cutting travel time by 20-35% and ensuring priority agents reach goals first in simulations.