pith:Y67QXTGR
Distributionally Robust Nash Equilibrium Seeking with Partial Observations and Distributed Communication
Stochastic games admit a nonempty set of distributionally robust Nash equilibria close to standard ones, which inertial dynamics can seek when amicable supergradients exist.
arxiv:2605.15534 v1 · 2026-05-15 · math.OC · cs.GT · cs.SY · eess.SY
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Claims
We provide conditions under which the game has a non-empty set of distributionally robust Nash equilibria (DRoNE) and then characterize the closeness of the DRoNE set to the Nash equilibria (NE) of the associated stochastic game. We then propose an inertial, supported, better response, ascending supergradient dynamics ISBRAG that seeks the DRoNE's when the distributionally robust game possesses what we term as amicable supergradients.
The distributionally robust game possesses amicable supergradients (abstract, paragraph on ISBRAG proposal); if this technical property fails, the proposed dynamics are not guaranteed to seek the DRoNE set.
Provides conditions for non-empty DRoNE sets, characterizes their distance to stochastic NE, and proposes inertial better-response dynamics (ISBRAG) plus a distributed version (d-ISBRAG) for seeking them with partial observations.
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Receipt and verification
| First computed | 2026-05-20T00:01:03.877348Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c7bf0bccd1bb1a46fe386e9b8a59b5248805e1542f2c430ca5d998fda468c154
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y67QXTGRXMNEN7RYN2NYUWNVES \
| 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())"
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Canonical record JSON
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