Pith Number

pith:UNKTTGI2

pith:2021:UNKTTGI2AZADNLV2WZOP5OZVAR

not attested not anchored not stored refs pending

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Fanglei Sun, Jakub Grudzien Kuba, Jun Wang, Muning Wen, Ruiqing Chen, Yaodong Yang, Ying Wen

arxiv:2109.11251 v2 · 2021-09-23 · cs.AI · cs.MA

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{UNKTTGI2AZADNLV2WZOP5OZVAR}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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.

Cited by

8 papers in Pith

Reference-Free Heterogeneous Multi-Agent Reinforcement Learning for Grid-Friendly Tie-Line Power Shaping in Industrial Microgrids

Phi-Actor-Critic: Steering General-Sum Games to Pareto-Efficient Correlated Equilibria

Robust Instruction Compliance in Cooperative Multi-Agent Reinforcement Learning

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning

TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination

Receipt and verification

First computed	2026-07-05T04:11:07.684511Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a35539991a064036aebab65cfebb35046a8b61ffc893356affac4fbef84a9417

Aliases

arxiv: 2109.11251 · arxiv_version: 2109.11251v2 · doi: 10.48550/arxiv.2109.11251 · pith_short_12: UNKTTGI2AZAD · pith_short_16: UNKTTGI2AZADNLV2 · pith_short_8: UNKTTGI2

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UNKTTGI2AZADNLV2WZOP5OZVAR \
  | 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: a35539991a064036aebab65cfebb35046a8b61ffc893356affac4fbef84a9417

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f2cf818ad13653dc6bac2b368a5e37703b5846f63ddf87414848c05f10e30cbb",
    "cross_cats_sorted": [
      "cs.MA"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2021-09-23T09:44:35Z",
    "title_canon_sha256": "150b987aaebbe03063426c3b44f20ed2c4b1b4513d70797fa315514da073fbac"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2109.11251",
    "kind": "arxiv",
    "version": 2
  }
}