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pith:2026:VB3C75ZRWWPF776EUPT2IHRQG6
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Synthesizing POMDP Policies: Sampling Meets Model-checking via Learning

Anirban Majumdar, Debraj Chakraborty, Jean-Fran\c{c}ois Raskin, Prince Mathew, Sayan Mukherjee

Sampling as a membership oracle and model-checking as an equivalence oracle synthesize finite-state POMDP controllers with formal guarantees when the induced policy is regular.

arxiv:2605.14440 v1 · 2026-05-14 · cs.AI · cs.FL · cs.LO

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Claims

C1strongest claim

We establish a relative completeness result for this framework. Experimental results from our prototypical implementation demonstrate that this method successfully solves threshold-safety problems that remain challenging for existing formal synthesis tools.

C2weakest assumption

The framework provides formal guarantees provided the sampling-induced policy is regular; the approach assumes sampling functions as a reliable membership oracle and model-checking as a reliable equivalence oracle without detailing how noise or approximation in sampling is handled.

C3one line summary

A new synthesis framework for POMDPs learns finite-state controllers via sampling and model-checking oracles, achieving relative completeness when the policy is regular and solving threshold-safety problems beyond existing formal tools.

References

46 extracted · 46 resolved · 1 Pith anchors

[1] In: Principles of Systems Design: Essays Dedicated to Thomas A 2022
[2] In: International Con- ference on Computer Aided Verification 2023
[3] In: International Conference on Computer Aided Verification 2021
[4] Angluin, D.: Learning regular sets from queries and counterexamples. Inf. Comput. 75(2), 87–106 (1987) 1987
[5] MIT press (2008) 2008
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First computed 2026-05-17T23:39:07.031543Z
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Signature Pith Ed25519 (pith-v1-2026-05) · public key
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a8762ff731b59e5fffc4a3e7a41e30378917a3638959755b996cf0a4eba216d8

Aliases

arxiv: 2605.14440 · arxiv_version: 2605.14440v1 · doi: 10.48550/arxiv.2605.14440 · pith_short_12: VB3C75ZRWWPF · pith_short_16: VB3C75ZRWWPF776E · pith_short_8: VB3C75ZR
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/VB3C75ZRWWPF776EUPT2IHRQG6 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: a8762ff731b59e5fffc4a3e7a41e30378917a3638959755b996cf0a4eba216d8
Canonical record JSON
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