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NoisyLinear

Syntologyentry name in harvested coderead from the graph 2026-09-24

NoisyLinear appears in the code Syntology harvested for 9 papers, as 9 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named NoisyLinear do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 8 of the 9 distinct code bodies named NoisyLinear; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
8ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 9 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

9 papers shown of 9, newest first; 9 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Distributional Reinforcement Learning for Condition-Based Maintenance of Multi-Pump Equipment added by Syntology 2026-02 (from id) tk-yasuno/dql-aged-multi-pumps-cbm/train_pump_cbm_v047_enhanced.py 6bfa72f22914e830 ran · metamorphic tier: deterministic no licence file found · pointer only
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC 6 Nov 2024 rickyegl/BeyondTheRainbowICLR/Agent.py 9e6f2536b7248907 ran no licence file found · pointer only
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement 2 Nov 2022 011235813/marl-amr/marl_amr/alg/custom_graphnet.py 36056784ebb39ccd unverified BSD-3-Clause (permissive)
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind 15 Oct 2021 unrealtracking/tom2c/model.py 70caf124d2abab91 ran · metamorphic tier: deterministic no licence file found · pointer only
Adapting to Reward Progressivity via Spectral Reinforcement Learning 29 Apr 2021 mchldann/SpectralDQN/agent/dqn.py 6340add9d62a55fe ran · metamorphic tier: deterministic GPL-2.0 (copyleft) · pointer only
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning 8 Oct 2020 alfworld/alfworld/alfworld/agents/modules/model.py a81a851773abf04b ran MIT (permissive)
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 Kaixhin/NoisyNet-A3C/model.py d56ce68005b7b2e2 ran MIT (permissive)
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 daviddcho/supermario/agent.py 00c916fc3622888b ran · metamorphic tier: deterministic no licence file found · pointer only
Playing Atari with Deep Reinforcement Learning 19 Dec 2013 chandar-lab/RLHive/hive/agents/qnets/atari/nature_atari_dqn.py e2d32d93aef8dd96 ran MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections