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Research map / Multi-agent systems and games / Human-AI and goal-conditioned

Implicit Coordination in Crowded Multi-Agent Navigation

AAAI 2016 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Learning-guided MAPF search · 44 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use C-Nav coordination instead of ORCA/ALANORCA agents · Circle, Bidirectional, Crowdinteraction overhead timeHelped
restrict to neighborhood-based actions only instead of the combined action set (ablation)C-Nav · Bidirectionalinteraction overhead timeHelped
combined action set instead of agent-based or neighborhood-based only (ablation)C-Nav · Circle, Crowdinteraction overhead timeNo clear effect
set coordination-factor gamma to 0.9 instead of extremes 0 or 1 (ablation)C-Nav · Circle, Bidirectional, Crowdinteraction overhead timeHelped
increase number of constrained neighbors k up to 3 (ablation)C-Nav · Circle, Bidirectional, Crowdinteraction overhead timeHelped
increase k beyond 3 (ablation)C-Nav · Circle, Bidirectional, Crowdinteraction overhead timeNo clear effect
increase number of agents (scalability)C-Nav vs ORCA · Bidirectional, Circleinteraction overhead timeHelped

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