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reward_function

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

reward_function appears in the code Syntology harvested for 7 papers, as 7 distinct code bodies found in 7 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 2 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 reward_function 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 3 of the 7 distinct code bodies named reward_function; 4 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
2ran · fixture could not drive it
0ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 7 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; 7 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 2 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
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost added by Syntology 2026-02 (from id) dibbla/Quantized-Evolution-Strategies/countdown/countdown_task.py 8c2091b066dcd117 unverified no licence file found · pointer only
GRACE: Reinforcement Learning for Grounded Response and Abstention under Contextual Evidence added by Syntology 2026-01 (from id) YiboZhao624/Grace/src/custom_reward_v2.py a294d7ea55dda89b unverified no licence file found · pointer only
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models 5 Feb 2024 yynil/rwkvinside/rl/train_rl_model.py f872aa95062d3ac2 unverified Apache-2.0 (permissive)
Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue 11 Oct 2023 qinlang14/GATE/KnowledgeSelection/GATEModel/model.py 168f20dbfff6d5a6 ran · fixture could not drive it no licence file found · pointer only
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning 6 Feb 2023 flowersteam/grounding_llms_with_online_rl/experiments/train_language_agent.py 351f0073ef3dccf5 ran · fixture could not drive it fingerprinted MIT (permissive)
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning 10 Jun 2022 tliu1997/arnpg-morl/Acrobot-v1/ARNPG-EPD_acrobot.py 202f8338817a32ef ran · honoured contract fingerprinted MIT (permissive)
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review 2 May 2018 sjoshi804/CS-267A-Final-Project/agent_pyro.py fcd52224251960ce 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