Pith Number

pith:K2Y4D3YR

pith:2024:K2Y4D3YRLY76RM3VYIM2AOG7M6

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Inpatient Overflow Management with Proximal Policy Optimization

Jim Dai, Jingjing Sun, Pengyi Shi

Proximal policy optimization with atomic actions manages inpatient overflow decisions at the scale of twenty patient classes and twenty wards.

arxiv:2410.13767 v6 · 2024-10-17 · math.OC

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\usepackage{pith}
\pithnumber{K2Y4D3YRLY76RM3VYIM2AOG7M6}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Case studies on hospital systems with up to twenty patient classes and twenty wards demonstrate that our approach matches or outperforms existing benchmarks, including approximate dynamic programming, which is computationally infeasible beyond five wards.

C2weakest assumption

The queueing-informed value function approximation and partially-shared policy network together preserve near-optimal performance for the original multi-patient combinatorial problem without introducing bias that grows with system size; this premise is invoked when the authors state that the enhancements improve policy evaluation and computational efficiency while still producing competitive policies.

C3one line summary

A PPO reinforcement learning method using atomic actions, partially-shared policies, and queueing-informed value approximation scales inpatient overflow optimization to hospital systems with 20 patient classes and wards, matching or beating benchmarks where prior methods fail.

Receipt and verification

First computed	2026-06-03T01:05:43.070163Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

56b1c1ef115e3fe8b375c219a038df67860e81041c00644366688f66db3b8506

Aliases

arxiv: 2410.13767 · arxiv_version: 2410.13767v6 · doi: 10.48550/arxiv.2410.13767 · pith_short_12: K2Y4D3YRLY76 · pith_short_16: K2Y4D3YRLY76RM3V · pith_short_8: K2Y4D3YR

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/K2Y4D3YRLY76RM3VYIM2AOG7M6 \
  | 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: 56b1c1ef115e3fe8b375c219a038df67860e81041c00644366688f66db3b8506

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f8843f83610103134600994bad7a6cedcac5ec20f5d8948352799b317a146759",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "math.OC",
    "submitted_at": "2024-10-17T17:04:08Z",
    "title_canon_sha256": "6a6e394eb70340dc414747669196d8224736d0cfd4b3728c0619c8d4f80bad98"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2410.13767",
    "kind": "arxiv",
    "version": 6
  }
}