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schedule

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

schedule appears in the code Syntology harvested for 32 papers, as 22 distinct code bodies found in 34 places (a place is one code body under one paper). At least one of them ran in 16 of the papers; 6 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 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 22 distinct code bodies named schedule; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

9ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
13unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 34 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

32 papers shown of 32, newest first; 34 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
Towards Robust Zero-Shot Reinforcement Learning added by Syntology 2025-10 (from id) enjeeneer/zero-shot-rl/agents/utils.py 1ccc49e568725965 unverified MIT (permissive)
RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks 7 Jun 2025 AiDuanshiying/RoboPARA/src/plan.py af7708985e5e9f7b unverified no licence file found · pointer only
Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting 30 May 2025 dmirlab-group/causal-aware_llms/utils.py ae234269debed3f4 ran · honoured contract MIT (permissive)
Uncertainty-Aware Reward-Free Exploration with General Function Approximation 24 Jun 2024 uclaml/gfa-rfe/agent/dsquare.py ae234269debed3f4 ran · honoured contract MIT (permissive)
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning 27 May 2024 conglu1997/v-d4rl/drqbc/utils.py ae234269debed3f4 ran · honoured contract MIT (permissive)
Zero-Shot Reinforcement Learning from Low Quality Data 26 Sep 2023 enjeeneer/conservative-world-models/agents/cfb/agent.py 53f6373e323067d0 ran · honoured contract fingerprinted MIT (permissive)
Reward-Free Curricula for Training Robust World Models 15 Jun 2023 danijar/dreamerv2/dreamerv2/common/other.py c2659ae89b97624c unverified MIT (permissive)
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation 14 Jun 2023 leap-stc/ClimSim/baseline_models/ED/training/ClimSIM_ED_1_3_train.py 1dfe90af653014df unverified Apache-2.0 (permissive)
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 7 Jun 2023 google-research/maskgit/maskgit/libml/mask_schedule.py 877afab065f859ba unverified Apache-2.0 (permissive)
LIV: Language-Image Representations and Rewards for Robotic Control 1 Jun 2023 penn-pal-lab/liv/liv/utils/utils.py ae234269debed3f4 ran · honoured contract MIT (permissive)
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning 29 May 2023 thuml/ContextWM/wmlib/core/other.py 2e07fb68b4f246c1 unverified MIT (permissive)
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning 24 May 2023 qiwang067/CoWorld/models.py 02b17681a370b688 ran · honoured contract no licence file found · pointer only
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations 2 Mar 2023 siddhanthaldar/FISH/FISH/utils.py ae234269debed3f4 ran · honoured contract MIT (permissive)
Visual Imitation Learning with Patch Rewards 2 Feb 2023 sail-sg/PatchAIL/PatchAIL/utils.py ae234269debed3f4 ran · honoured contract Apache-2.0 (permissive)
A Mixture of Surprises for Unsupervised Reinforcement Learning 13 Oct 2022 LeapLabTHU/MOSS/core/calculations/misc.py ae234269debed3f4 ran · honoured contract Apache-2.0 (permissive)
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity 26 Jul 2022 framartin/lgv-geometric-transferability/lgv/imagenet/train_swag_imagenet.py 7478bf872b01d269 unverified GPL-3.0 (copyleft) · pointer only
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning 11 May 2022 architsharma97/medal/utils.py ae234269debed3f4 ran · honoured contract Apache-2.0 (permissive)
R3M: A Universal Visual Representation for Robot Manipulation 23 Mar 2022 facebookresearch/r3m/r3m/utils/utils.py ae234269debed3f4 ran · honoured contract MIT recorded; this copy not marked cleared · pointer only
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning 17 Feb 2022 facebookresearch/drqv2/drqv2.py e25645dfaf7e3237 ran · honoured contract MIT (permissive)
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations 27 Oct 2021 fdeng18/dreamer-pro/Dreamer/common/other.py c2659ae89b97624c unverified MIT (permissive)
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning 20 Jul 2021 zhou-henry/distributed-distributional-drq/utils.py ae234269debed3f4 ran · honoured contract MIT (permissive)
Appearance of Random Matrix Theory in Deep Learning 12 Feb 2021 npbaskerville/dnn-rmt-spacings/GadamX/run_sgd.py 88db7bf86da5bc92 unverified GPL-3.0 (copyleft) · pointer only
Mastering Atari with Discrete World Models 5 Oct 2020 iglu-contest/iglu-builder-baseline-dreamer/common/other.py c2659ae89b97624c unverified MIT (permissive)
Why Normalizing Flows Fail to Detect Out-of-Distribution Data 15 Jun 2020 PolinaKirichenko/flows_ood/experiments/train_flows/train_unsup.py 1f09eadd3ba7f02e unverified no licence file found · pointer only
Enforcing Analytic Constraints in Neural-Networks Emulating Physical Systems 2019-09 (from id) eyringmlclimategroup/behrens22james_SPCAM_VED/AED_clim_clim_conv_train.py bc565c66808294e2 unverified MIT (permissive)
A Simple Baseline for Bayesian Uncertainty in Deep Learning 7 Feb 2019 wjmaddox/swa_gaussian/experiments/imagenet/run_swag_imagenet.py 7478bf872b01d269 unverified BSD-2-Clause (permissive)
Asymmetric Valleys: Beyond Sharp and Flat Local Minima 2 Feb 2019 962086838/code-for-Asymmetric-Valley/train2.py 6d7175c60d08e872 unverified no licence file found · pointer only
Averaging Weights Leads to Wider Optima and Better Generalization 14 Mar 2018 dice-group/aswa/ddp_train.py 24584656ffcaea3e unverified BSD-2-Clause (permissive)
Deep Quaternion Networks 13 Dec 2017 gaudetcj/DeepQuaternionNetworks/training_classification.py c4ae6dd24ed4de98 ran · honoured contract fingerprinted MIT (permissive)
Deep Quaternion Networks 13 Dec 2017 gaudetcj/DeepQuaternionNetworks/training_segmentation.py 0e3e5b341ce14824 ran · honoured contract fingerprinted MIT (permissive)
Embedding Watermarks into Deep Neural Networks 15 Jan 2017 yu4u/dnn-watermark/train_wrn.py 4cab2a822fbcde8c ran · honoured contract fingerprinted no licence file found · pointer only
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition 2 Aug 2016 nhannguyen2709/video_recognition/train_tsn_spatial_stream.py fa89677d377778f8 ran · honoured contract fingerprinted no licence file found · pointer only
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition 2 Aug 2016 nhannguyen2709/video_recognition/train_tsn_motion_stream.py 5e212072c1ba4c65 ran · honoured contract fingerprinted no licence file found · pointer only
SSD: Single Shot MultiBox Detector 8 Dec 2015 naoya0731/deepmosaic/SSD_train_custom.py e9613cd8ff17ccb6 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