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make_agent

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

make_agent appears in the code Syntology harvested for 20 papers, as 11 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 4 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 make_agent 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 11 distinct code bodies named make_agent; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
1ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 24 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

20 papers shown of 20, newest first; 24 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
AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification 6 Jun 2025 identical code first harvested elsewhere 2a76dfe317adeb03 unverified licence of this copy not recorded
Learning Successor Features the Simple Way 29 Oct 2024 raymondchua/simple_successor_features/full_train.py 14e8a7cb98687b21 ran · our draft was wrong no licence file found · pointer only
Diffusing States and Matching Scores: A New Framework for Imitation Learning 17 Oct 2024 ziqian2000/SMILING/utils.py 524f939a65aaa2da ran licence not identified · pointer only
GenRL: Multimodal-foundation world models for generalization in embodied agents 26 Jun 2024 mazpie/genrl/collect_data.py 2a76dfe317adeb03 unverified MIT (permissive)
Uncertainty-Aware Reward-Free Exploration with General Function Approximation 24 Jun 2024 uclaml/GFA-RFE/offline.py 2a76dfe317adeb03 unverified MIT (permissive)
Constrained Ensemble Exploration for Unsupervised Skill Discovery 25 May 2024 Baichenjia/CeSD/finetune.py 2a76dfe317adeb03 unverified MIT (permissive)
iVideoGPT: Interactive VideoGPTs are Scalable World Models 24 May 2024 identical code first harvested elsewhere f1ba293af9a573fd unverified licence of this copy not recorded
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning 23 May 2024 thu-ml/CEURL/DMC_image/dreamer_finetune.py 2a76dfe317adeb03 unverified MIT (permissive)
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control 16 Feb 2024 FrankZheng2022/PRISE/train_prise.py 881c9af39ce5d3c4 ran · our draft was wrong MIT (permissive)
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss 9 Feb 2024 PremierTACO/premier-taco/train_bc.py f1ba293af9a573fd unverified no licence file found · pointer only
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss 9 Feb 2024 premiertaco/premier-taco/train_premier_taco_dist.py ff56a87a6c0c857f unverified no licence file found · pointer only
Generalizable Visual Reinforcement Learning with Segment Anything Model 28 Dec 2023 wadiuvatzy/sam-g/carlatrain.py f1ba293af9a573fd unverified MIT (permissive)
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization 15 Jul 2023 gemcollector/rl-vigen/carlatrain.py f1ba293af9a573fd unverified MIT (permissive)
Behavior Contrastive Learning for Unsupervised Skill Discovery 8 May 2023 Rooshy-yang/BeCL/finetune.py 2a76dfe317adeb03 unverified MIT (permissive)
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations 2 Mar 2023 siddhanthaldar/FISH/FISH/eval_robot.py 6dcf7786ccfa6051 unverified MIT (permissive)
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations 2 Mar 2023 siddhanthaldar/FISH/FISH/train_hand.py b6a479ef98b42e5f unverified MIT (permissive)
Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations 2 Mar 2023 siddhanthaldar/FISH/FISH/train_robot.py 552d3925ad4f9b07 unverified MIT (permissive)
Visual Imitation Learning with Patch Rewards 2 Feb 2023 sail-sg/PatchAIL/PatchAIL/generate.py 08c2a94185babfce unverified Apache-2.0 (permissive)
Choreographer: Learning and Adapting Skills in Imagination 23 Nov 2022 mazpie/choreographer/finetune.py ec382ec28dcb1ad9 ran · our draft was wrong MIT (permissive)
Choreographer: Learning and Adapting Skills in Imagination 23 Nov 2022 identical code first harvested elsewhere 2a76dfe317adeb03 unverified licence of this copy not recorded
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning 17 Feb 2022 microsoft/VRL3/src/train_adroit.py f1ba293af9a573fd unverified MIT (permissive)
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery 1 Feb 2022 identical code first harvested elsewhere 2a76dfe317adeb03 unverified licence of this copy not recorded
URLB: Unsupervised Reinforcement Learning Benchmark 28 Oct 2021 identical code first harvested elsewhere 2a76dfe317adeb03 unverified licence of this copy not recorded
Behavior From the Void: Unsupervised Active Pre-Training 8 Mar 2021 rll-research/url_benchmark/pretrain.py 2a76dfe317adeb03 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