Home › Code › discount

discount

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

discount appears in the code Syntology harvested for 11 papers, as 9 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 2 of the papers; 2 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 discount 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 2 of the 9 distinct code bodies named discount; 7 are 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
2ran · fixture could not drive it
0ran
7unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 11 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

11 papers shown of 11, newest first; 11 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. 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
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation 26 Oct 2022 yeshenpy/ERL-Re2/core/agent.py adb1e03f78b84980 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Multi-Agent Trust Region Policy Optimization 15 Oct 2020 hepengli/matrpo/matrpo/common/math_util.py 973bd4eccef85757 unverified MIT (permissive)
Attentive Multi-Task Deep Reinforcement Learning 5 Jul 2019 braemt/attentive-multi-task-deep-reinforcement-learning/a3c.py 0ca7ce32a4f2492c unverified MIT recorded; this copy not marked cleared · pointer only
Continual and Multi-Task Architecture Search 12 Jun 2019 ramakanth-pasunuru/CAS-MAS/trainer.py cc015b361f3178c7 unverified MIT (permissive)
Neural Logic Reinforcement Learning 24 Apr 2019 ZhengyaoJiang/NLRL/core/rl.py 7767b1b80f46ddeb unverified MIT (permissive)
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning 22 Apr 2019 GraphNAS/GraphNAS-simple/graphnas/trainer.py 35a7fa611d2a624f unverified Apache-2.0 (permissive)
Exploration by Random Network Distillation 30 Oct 2018 microsoft/strategically_efficient_rl/algorithms/agents/intrinsic.py 0ca7ce32a4f2492c unverified MIT (permissive)
Parameter Space Noise for Exploration 6 Jun 2017 aspk/Tensorflow_Deep_RL/param_noise_mlp.py c80e4e6524f7b68e ran · fixture could not drive it fingerprinted no licence file found · pointer only
Neural Episodic Control 6 Mar 2017 mjacar/pytorch-nec/utils/math_utils.py 59e3e825c388becc unverified MIT (permissive)
Learning to reinforcement learn 17 Nov 2016 awjuliani/Meta-RL/helper.py fb210a4cf2658a85 unverified MIT (permissive)
Asynchronous Methods for Deep Reinforcement Learning 4 Feb 2016 openai/universe-starter-agent/a3c.py 0ca7ce32a4f2492c unverified 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