Home › Code › quantile_huber_loss

quantile_huber_loss

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

quantile_huber_loss appears in the code Syntology harvested for 9 papers, as 7 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 6 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 quantile_huber_loss 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 4 of the 7 distinct code bodies named quantile_huber_loss; 3 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
1ran · fixture could not drive it
2ran
3unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 9 places is 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
Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints added by Syntology 18 Mar 2026 wadx2019/qvpo/agent/qvpo.py 3e12dfe5d2e56c8d ran · fixture could not drive it fingerprinted MIT (permissive)
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning 14 Oct 2024 harwiltz/distributional-superiority/dsup/losses.py 6323d3872e290271 ran MIT (permissive)
Confronting Reward Model Overoptimization with Constrained RLHF 6 Oct 2023 tedmoskovitz/constrainedrl4lms/rl4lms/algorithms/common/algo_utils.py 821b0061bc694ddf ran no licence file found · pointer only
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs 15 May 2023 allenai/RL4LMs/rl4lms/algorithms/common/algo_utils.py 821b0061bc694ddf ran Apache-2.0 (permissive)
Guiding Large Language Models via Directional Stimulus Prompting 22 Feb 2023 leezekun/directional-stimulus-prompting/rl4lms/algorithms/common/algo_utils.py 821b0061bc694ddf ran Apache-2.0 (permissive)
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning 30 Nov 2022 nuria95/O-RAAC/oraaclib/agent/ORAAC.py 24475939b27492ce ran · our draft was wrong fingerprinted MIT (permissive)
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability 28 Nov 2022 wyjung0625/QCPO/qcpo/dist_rl_utils.py c3eedd504cc05a91 unverified MIT (permissive)
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms 25 Jun 2020 Stable-Baselines-Team/stable-baselines3-contrib/sb3_contrib/common/utils.py 8a3b5a2760bcc10a unverified MIT (permissive)
Estimating Risk and Uncertainty in Deep Reinforcement Learning 23 May 2019 IndustAI/risk-and-uncertainty/figs2-3_rl/agents/common/utils.py a33e58b8c715af18 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