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init

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

init appears in the code Syntology harvested for 55 papers, as 27 distinct code bodies found in 58 places (a place is one code body under one paper). At least one of them ran in 38 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 init 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 27 distinct code bodies named init; 18 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
4ran
18unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 58 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

55 papers shown of 55, newest first; 58 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 6 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
Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning added by Syntology 2026-07 (from id) aixiuxiuxiu/Legal-MT-SFT-RL/dist.py 968bb0ff4e9f3f20 unverified MIT (permissive)
Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus added by Syntology 2026-04 (from id) PKU-MARL/Multi-Agent-Transformer/mat/algorithms/mat/algorithm/ma_transformer.py c00885ffa5fe61e7 ran · our draft was wrong no licence file found · pointer only
Optimizing Neurorobot Policy under Limited Demonstration Data through Preference Regret added by Syntology 2026-04 (from id) NACLab/neurorobot-preference-regret-learning/lib/agent/active.py 2946157301d5cc74 unverified MIT (permissive)
CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control added by Syntology 2026-03 (from id) marmotlab/CoordLight/Models/CoordLightModel.py c31c51db289b4c16 ran · our draft was wrong MIT (permissive)
Unifying Agent Interaction and World Information for Multi-agent Coordination added by Syntology 2025-09 (from id) zoeyuchao/mappo/onpolicy/algorithms/utils/util.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Reparameterization Proximal Policy Optimization added by Syntology 2025-08 (from id) SonSang/gippo/src/gippo/network.py d0cd749d322eccb6 unverified no licence file found · pointer only
TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design 24 Jun 2025 Cho-Geonwoo/TRACED/models/recurrent_walker_models.py 9de355e93051e4ad ran · our draft was wrong no licence file found · pointer only
TRACED: Transition-aware Regret Approximation with Co-learnability for Environment Design 24 Jun 2025 Cho-Geonwoo/TRACED/models/common.py f8db408bc65dbb3a unverified licence not identified · pointer only
Continual Task Learning through Adaptive Policy Self-Composition 18 Nov 2024 charleshsc/CompoFormer/dt/decision_transformer_grow.py c00885ffa5fe61e7 ran · our draft was wrong Apache-2.0 (permissive)
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity 7 Nov 2024 robbycostales/diva/diva/components/policy/networks.py 3e211798265a006a unverified MIT (permissive)
Vertical Federated Learning with Missing Features During Training and Inference 29 Oct 2024 Valdeira/LASER-VFL/models/mimic_model_utils.py d4531a69fbf2a306 unverified MIT (permissive)
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation 29 Sep 2024 njuvision/mpa/examples/train_stage1_wo_gan.py 6656404be8df535e unverified licence not identified · pointer only
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation 29 Sep 2024 njuvision/mpa/examples/eval_cls_real_bpp.py ffb7e6e59725022b unverified licence not identified · pointer only
GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning 2024-09 (from id) xiong5heng/gopt/model.py 9de355e93051e4ad ran · our draft was wrong no licence file found · pointer only
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation 25 May 2024 luomingshuang/M3GPT/m3gpt/core/fp16/amp.py eb8a2600afc1de95 ran no licence file found · pointer only
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations 26 Apr 2024 Xiaoyao-Li/Ag2Manip/algos/utils/util.py 9de355e93051e4ad ran · our draft was wrong no licence file found · pointer only
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction 22 Mar 2024 vita-epfl/UniTraj/unitraj/models/autobot/autobot.py d7a51202f8456490 ran licence not identified · pointer only
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing 3 Feb 2024 identical code first harvested elsewhere 9de355e93051e4ad ran · our draft was wrong licence of this copy not recorded
Gradient Informed Proximal Policy Optimization 14 Dec 2023 sonsang/gippo/src/gippo/network.py d0cd749d322eccb6 unverified no licence file found · pointer only
Learning Curricula in Open-Ended Worlds 3 Dec 2023 facebookresearch/dcd/models/common.py 9de355e93051e4ad ran · our draft was wrong no licence file found · pointer only
Hulk: A Universal Knowledge Translator for Human-Centric Tasks 4 Dec 2023 opengvlab/hulk/core/fp16/amp.py eb8a2600afc1de95 ran MIT (permissive)
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts 25 Nov 2023 jonasjuerss/help/custom_logger.py 5265ccd1e6a4830b ran no licence file found · pointer only
Differentiable and accelerated spherical harmonic and Wigner transforms 24 Nov 2023 astro-informatics/s2fft/s2fft/recursions/trapani.py 94b976a8c3413231 ran MIT (permissive)
Beyond Surprise: Improving Exploration Through Surprise Novelty 9 Aug 2023 thaihungle/sm/dist.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Recursive Algorithmic Reasoning 1 Jul 2023 DJayalath/gnn-call-stack/gnn_call_stack/utils.py ec6c1cbb5fa6ffa6 unverified Apache-2.0 (permissive)
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models 29 Apr 2023 korawat-tanwisuth/pouf/pouf_mlm/src/label_search.py 5fabcb6bbd28aa2f unverified no licence file found · pointer only
UniHCP: A Unified Model for Human-Centric Perceptions 6 Mar 2023 OpenGVLab/UniHCP/core/fp16/amp.py eb8a2600afc1de95 ran MIT (permissive)
Order Matters: Agent-by-agent Policy Optimization 13 Feb 2023 xihuai18/A2PO-ICLR2023/onpolicy/algorithms/utils/util.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time 25 Nov 2022 huaxiuyao/wild-time/wildtime/baseline_trainer.py beca3cd43469c27a unverified MIT (permissive)
Distributionally Adaptive Meta Reinforcement Learning 6 Oct 2022 ikostrikov/pytorch-a2c-ppo-acktr-gail/a2c_ppo_acktr/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization 12 Jul 2022 OpenRL-Lab/DGPO/onpolicy/algorithms/utils/util.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Robust Imitation Learning against Variations in Environment Dynamics 19 Jun 2022 JongseongChae/RIME/algorithm/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments 23 May 2022 aklein1995/intrinsic_motivation_techniques_study/model.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
An Extensive Data Processing Pipeline for MIMIC-IV 29 Apr 2022 healthylaife/mimic-iv-data-pipeline/model/model_utils.py 7cedea7a54f72fb3 unverified MIT (permissive)
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild 8 Mar 2022 deeplearning-wisc/stud/datasets/bdd100k2coco.py 5113c7c282ca0da7 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning 23 Sep 2021 mehdinasiri/mirror-descent-in-marl/algorithms/utils/util.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Explore and Control with Adversarial Surprise 12 Jul 2021 ArnaudFickinger/adversarial-surprise/model.py 9de355e93051e4ad ran · our draft was wrong no licence file found · pointer only
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding 1 Jul 2021 clvrai/idapt/training/networks/distributions.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods 2021-06 (from id) hijkzzz/noisy-mappo/onpolicy/algorithms/utils/util.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses 16 Jun 2021 ssg-research/ad3-action-distribution-divergence-detector/src/agents/models.py 9de355e93051e4ad ran · our draft was wrong Apache-2.0 (permissive)
Curiosity-Driven Exploration via Latent Bayesian Surprise 15 Apr 2021 mazpie/lbs-exploration/exploration/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Character Controllers Using Motion VAEs 26 Mar 2021 electronicarts/character-motion-vaes/common/controller.py 9de355e93051e4ad ran · our draft was wrong BSD-3-Clause (permissive)
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction 19 Feb 2021 roggirg/AutoBots/models/autobot_joint.py 9de355e93051e4ad ran · our draft was wrong BSD-3-Clause (permissive)
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction 19 Feb 2021 roggirg/AutoBots/models/autobot_ego.py d7a51202f8456490 ran BSD-3-Clause (permissive)
"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently 5 Oct 2020 MathieuRita/Lazimpa/egg/core/util.py 3c2081da5221dfd6 unverified MIT (permissive)
Learning Dexterous Grasping with Object-Centric Visual Affordances 3 Sep 2020 priyankamandikal/graff/a2c_ppo_acktr/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Learning to plan with uncertain topological maps 10 Jul 2020 edbeeching/learning_to_plan/layers.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning 23 Jun 2020 rraileanu/auto-drac/ucb_rl2_meta/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Agent Modelling under Partial Observability for Deep Reinforcement Learning 16 Jun 2020 uoe-agents/LIAM/double_speaker_listener/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Characterizing Attacks on Deep Reinforcement Learning 21 Jul 2019 ssg-research/flare/src/agents/models.py 9de355e93051e4ad ran · our draft was wrong Apache-2.0 (permissive)
Sequential estimation of quantiles with applications to A/B-testing and best-arm identification 24 Jun 2019 WLM1ke/poptimizer/poptimizer/adapters/logger.py eff60c9fec6ef025 unverified Unlicense (permissive)
Reinforcement Learning with Convex Constraints 21 Jun 2019 xkianteb/ApproPO/ApproPO/nets.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards 12 May 2019 YuhangSong/Mega-Reward/a2c_ppo_acktr/utils.py 9de355e93051e4ad ran · our draft was wrong MIT (permissive)
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks 23 Dec 2018 IC3Net/IC3Net/data.py 8cab58f1257e1400 unverified MIT (permissive)
Parallelizing Linear Recurrent Neural Nets Over Sequence Length 12 Sep 2017 proger/accelerated-scan/tests/bench.py 6ac2ecfb8cd3b4a0 ran · honoured contract MIT (permissive)
Curiosity-driven Exploration by Self-supervised Prediction 15 May 2017 rpatrik96/AttA2C/src/model.py 87da60c05cf5addb ran · our draft was wrong MIT (permissive)
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving 22 Dec 2016 MarvinTeichmann/KittiBox/submodules/utils/googlenet_load.py 0380022ecb697fdf unverified MIT (permissive)
Medical image denoising using convolutional denoising autoencoders 16 Aug 2016 adam-mah/Medical-Image-Denoising/bm3d.py d86875c444f7728a 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