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Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing

ICML 2020 · Multi-agent systems and games › Games and equilibria · approach: Learning with strategic agents · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use linear value representation (HSVI1) instead of PWLC with enumeration (HSVI2) or MILP (HSVI3)HSVI variants for one-sided Dec-POMDPs · mabc, tiger, Grid3x3corners, Recycling, boxPushing, Marsrunning time: mabc: 0.004 s vs 0.02 s (HSVI2) and 0.8 s (HSVI3)Helped
Use PWLC representation with enumeration (HSVI2) instead of linear (HSVI1)HSVI variants · Recycling, boxPushing, Grid3x3cornersnumber of iterations to converge: Recycling #it 83 (HSVI1(1)) vs 50 (HSVI2)Helped
Use PWLC with enumeration (HSVI2) instead of MILP action selection (HSVI3)HSVI2 vs HSVI3 · small and medium domainsrunning timeHelped
Increase history length m in HSVI1(m) from 1 to larger values (ablation)HSVI1(m) on tiger · tigerconvergence (gap at s0): HSVI1(1) gap -0.139; HSVI1(7) gap 0.0 with lower bound 37.5Mixed
Use small history length m (1,2,6) in HSVI1(m) (ablation)HSVI1(m) on tiger · tigerbound consistency (lower above upper)Hurt
Use linear HSVI1 with m=1 on Mars vs HSVI2/HSVI3 PWLC variantsHSVI1(1) · Marsrunning time: 34.0906 s vs 13196.4 s (HSVI2) and 19045.7 s (HSVI3)Helped
Use HSVI2 (PWLC enumeration) on Grid3x3corners with largest observation setHSVI2 · Grid3x3cornerscompletion: out of memoryHurt

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