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Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs

AAAI 2017 · Multi-agent systems and games › Cooperative multi-agent RL · approach: Coordination graphs · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add Hoeffding-based reduced resource limitsCMDP · Lotteryviolation frequency / expected valueMixed
add dynamic constraint relaxation on top of Hoeffding bound (ablation)CMDP / Column Generation · Lotteryexpected valueHelped
add dynamic constraint relaxation on top of Hoeffding bound (ablation)CMDP · TCLexpected value and violation tolerance fitHelped
use dynamic relaxation instead of unbounded CMDPCMDP · Maze 5x5violationsHelped
add column pruning to Column Generation (ablation)Column Generation · TCL n=100, horizon up to 128runtimeHelped
use Column Generation with pruning instead of direct CMDP encodingresource-constrained MMDP · TCL n=100runtimeHelped
add dynamic relaxation to Hoeffding-bounded planning (ablation)Column Generation · Synthetic Advertisingviolation probabilityHelped
add Hoeffding reduction in advertising domain (ablation)Column Generation · Synthetic Advertisingexpected valueHurt
increase number of agents with bounded limitsHoeffding / dynamic bound · TCLexpected valueHelped

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