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linear_schedule

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

linear_schedule appears in the code Syntology harvested for 26 papers, as 18 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 5 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 linear_schedule 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 9 of the 18 distinct code bodies named linear_schedule; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

6ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
2ran
9unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 26 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

26 papers shown of 26, newest first; 26 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 3 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. 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
Robust Policy Optimization via Adversarial Importance Sampling added by Syntology 2026-09 (from id) AmineAndam04/advrl/advrl/utils/nets.py a8c11ad133a716b4 unverified no licence file found · pointer only
Actor-Free Continuous Control via Structurally Maximizable Q-Functions added by Syntology 2025-10 (from id) USC-Lira/Q3C/q3c/utils/learning_rate_schedulers.py 6be8838e3058ad9c unverified MIT (permissive)
Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization added by Syntology 2025-08 (from id) frankroeder/DALI/contextual_mbrl/baseline/model.py 2df73e2474aca4ca unverified MIT (permissive)
arXiv:2507.09391 2025-07 (from id) peterpaohuang/ncgn/src/schedules.py 9929f56bc45fb62a unverified MIT (permissive)
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning 3 Jan 2025 identical code first harvested elsewhere 4c60d8998b722013 ran · honoured contract fingerprinted licence of this copy not recorded
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation 29 Oct 2024 shenoynikhil/ETFlow/etflow/models/utils.py 21f5c6553e54587f unverified MIT (permissive)
Streaming Deep Reinforcement Learning Finally Works 18 Oct 2024 mohmdelsayed/streaming-drl/stream_q.py 4c60d8998b722013 ran · honoured contract fingerprinted no licence file found · pointer only
CANDID DAC: Leveraging Coupled Action Dimensions with Importance Differences in DAC 8 Jul 2024 philippbordne/candiddac/src/candid_dac/utils/utils.py 3b4e136849a4251a ran Apache-2.0 (permissive)
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization 16 Mar 2024 sai-prasanna/dreaming_of_many_worlds/contextual_mbrl/baseline/model.py 2df73e2474aca4ca unverified MIT (permissive)
DiffAIL: Diffusion Adversarial Imitation Learning 11 Dec 2023 ml-group-sdu/diffail/rlkit/core/train_util.py 6287f9aeab092560 ran no licence file found · pointer only
TD-MPC2: Scalable, Robust World Models for Continuous Control 25 Oct 2023 nicklashansen/tdmpc/src/algorithm/tdmpc.py 2a9a459391fd3de7 ran · honoured contract MIT (permissive)
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning 29 Sep 2023 identical code first harvested elsewhere 4c60d8998b722013 ran · honoured contract fingerprinted licence of this copy not recorded
Active Vision Reinforcement Learning under Limited Visual Observability 1 Jun 2023 elicassion/sugarl/agent/dqn_atari_sugarl.py 4c60d8998b722013 ran · honoured contract fingerprinted no licence file found · pointer only
Stochastic Segmentation with Conditional Categorical Diffusion Models 15 Mar 2023 larsdoorenbos/ccdm-stochastic-segmentation/ddpm/models/diffusion_denoising.py 0bbe78920342bfbb ran · honoured contract fingerprinted MIT (permissive)
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation 18 Oct 2022 peidehuang/gradient/helpers/utils.py 7d7285fe24c34a81 unverified MIT (permissive)
Godot Reinforcement Learning Agents 7 Dec 2021 identical code first harvested elsewhere 4cee71b4d9b5a737 ran · our draft was wrong licence of this copy not recorded
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms 16 Nov 2021 identical code first harvested elsewhere 4c60d8998b722013 ran · honoured contract fingerprinted licence of this copy not recorded
B-Pref: Benchmarking Preference-Based Reinforcement Learning 4 Nov 2021 rll-research/B-Pref/train_PPO.py ad4e19d5ac571c31 unverified MIT (permissive)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training 9 Jun 2021 rll-research/bpref/train_PPO.py ad4e19d5ac571c31 unverified MIT (permissive)
Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection 20 May 2021 LucasAlegre/mbcd/mbcd/utils/util.py adae040054a625aa unverified MIT (permissive)
Global Transport for Fluid Reconstruction with Learned Self-Supervision 13 Apr 2021 tum-pbs/Global-Flow-Transport/phitest/render/optimization.py 62e39ce4ebceebc9 ran · honoured contract fingerprinted MIT (permissive)
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games 2 Mar 2021 emerge-lab/nocturne_lab/experiments/hr_rl/run_hr_ppo_cli.py 4cee71b4d9b5a737 ran · our draft was wrong MIT (permissive)
Instance Selection for GANs 30 Jul 2020 snap-research/3dgp/src/training/loss.py 97c1685bb8978f57 ran · honoured contract fingerprinted no licence file found · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 tiwarylab/DDPM_REMD/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py cb41bf2d4dec5aee ran · honoured contract fingerprinted MIT (permissive)
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation 3 Sep 2019 deepmind/interval-bound-propagation/interval_bound_propagation/src/utils.py a60e232adbec82fd unverified Apache-2.0 (permissive)
Rainbow: Combining Improvements in Deep Reinforcement Learning 6 Oct 2017 identical code first harvested elsewhere 4c60d8998b722013 ran · honoured contract fingerprinted licence of this copy not recorded

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