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

Stochastic Goal Recognition Design Problems with Suboptimal Agents

AAAI 2022 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Boundedly rational agent modeling · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Allow up to one suboptimal action instead of assuming optimal agentsSS-GRD · Benchmark applicationsinitial wcdHelped
Increase the action-removal budget from k=1 to k=2SS-GRD, FO-AR · Benchmark instances, u=1wcd reductionMixed
Increase the action-removal budget from k=2 to k=3SS-GRD, FO-AR · Benchmark instances, u=1wcd reductionMixed
Increase the action-removal budget from k=1 to k=2SS-GRD, PO-AR · Benchmark instances, u=1wcd reductionMixed
Increase the action-removal budget from k=2 to k=3SS-GRD, PO-AR · Benchmark instances, u=1wcd reductionMixed
Increase the sensor-refinement budget from k=1 to k=2SS-GRD, PO-SR · Benchmark instances, u=1wcd reductionMixed
Increase the sensor-refinement budget from k=2 to k=3SS-GRD, PO-SR · Benchmark instances, u=1wcd reductionMixed
Use optimized pruning and wcd recomputation instead of the naïve design searchSS-GRD design algorithms · Grid-Navigationrunning timeHelped

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