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load_baselines

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

load_baselines appears in the code Syntology harvested for 7 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 2 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 load_baselines 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 1 of the 7 distinct code bodies named load_baselines; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 0 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

7 papers shown of 7, 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. 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
Learning Robust Dynamics through Variational Sparse Gating 21 Oct 2022 arnavkj1995/vsg/plotting.py f5538829a09b5fc7 unverified MIT (permissive)
Faster Deep Reinforcement Learning with Slower Online Network 10 Dec 2021 amazon-research/fast-rl-with-slow-updates/dopamine/colab/utils.py ba90a401fa9b20dc unverified Apache-2.0 (permissive)
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations 27 Oct 2021 fdeng18/dreamer-pro/Dreamer/common/plot.py b3ae56f77b905c0e unverified MIT (permissive)
Temporal Predictive Coding For Model-Based Planning In Latent Space 14 Jun 2021 VinAIResearch/TPC-tensorflow/plotting.py 2f2cf1bbab74e2d7 ran · honoured contract MIT (permissive)
Mastering Atari with Discrete World Models 5 Oct 2020 iglu-contest/iglu-builder-baseline-dreamer/common/plot.py b3ae56f77b905c0e unverified MIT (permissive)
Dream to Control: Learning Behaviors by Latent Imagination 3 Dec 2019 danijar/dreamer/plotting.py 2f2cf1bbab74e2d7 ran · honoured contract MIT (permissive)
Dopamine: A Research Framework for Deep Reinforcement Learning 14 Dec 2018 ACampero/dopamine/dopamine/colab/utils.py da193998947f1f00 unverified Apache-2.0 (permissive)
Dopamine: A Research Framework for Deep Reinforcement Learning 14 Dec 2018 GoingMyWay/dopamine_reward_decomposition/dopamine/colab/utils.py 164574e121bef26e unverified Apache-2.0 (permissive)
Dopamine: A Research Framework for Deep Reinforcement Learning 14 Dec 2018 KatyNTsachi/Hierarchical-RL/dopamine/colab/utils.py ffc223b3f87cf2cf unverified Apache-2.0 (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