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get_reward

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

get_reward appears in the code Syntology harvested for 20 papers, as 19 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 1 of the code bodies carries 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 get_reward 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 19 distinct code bodies named get_reward; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
1ran · fixture could not drive it
4ran
10unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 22 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; 22 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
PLoP: Precise LoRA Placement for Efficient Finetuning of Large Models 25 Jun 2025 soufiane001/plop/sft/model_utils.py c24b405d6da63aab unverified no licence file found · pointer only
VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism 10 Jun 2025 GaryJiajia/VReST/prompt_methods/ours/our6.py c78a0abbbc546ffb unverified no licence file found · pointer only
Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO 26 May 2025 srzer/Gap-in-Preference-Learning/Exp-0/annotate_data/get_rewards.py 0d39de6cae03583a unverified MIT (permissive)
R-PRM: Reasoning-Driven Process Reward Modeling 27 Mar 2025 njunlp/r-prm/src/reward-guide-search/code/GenPRM-Greedy-Seach-Zero-Shot.py 9b43f9ef6cfe06cf ran · honoured contract no licence file found · pointer only
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences 15 Mar 2025 Hong-Lab-UMN-ECE/IRLAlignment/summarize_from_feedback_details/IRL_reward.py c64a8d32a7ed56ca unverified MIT (permissive)
IPO: Your Language Model is Secretly a Preference Classifier 22 Feb 2025 shivank21/Implicit_Preference_Optimization/Preference_Comparison/RM_Bench/reward_model.py be3a2b51c3f2cfc0 unverified Apache-2.0 (permissive)
IPO: Your Language Model is Secretly a Preference Classifier 22 Feb 2025 shivank21/Implicit_Preference_Optimization/Preference_Comparison/Reward_Bench/reward_model.py 499246b2aadf2aa3 unverified Apache-2.0 (permissive)
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making 24 Jun 2024 mnm-anonymous/qmd/envs/fetch_envs.py 35bd6ebd08652e20 ran no licence file found · pointer only
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF 12 Jun 2024 taiminglu/seamless/code/SEAM/reward/get_reward.py 646f36a115dc20f4 ran no licence file found · pointer only
REBEL: Reinforcement Learning via Regressing Relative Rewards 25 Apr 2024 zhaolingao/rebel/src/tldr/rebel.py 724222affceacea6 ran · our draft was wrong Apache-2.0 (permissive)
REBEL: Reinforcement Learning via Regressing Relative Rewards 25 Apr 2024 zhaolingao/rebel/src/tldr/rm.py c02add7716c931ba ran Apache-2.0 (permissive)
Dataset Reset Policy Optimization for RLHF 12 Apr 2024 cornell-rl/drpo/src/tldr/drpo.py 724222affceacea6 ran · our draft was wrong Apache-2.0 (permissive)
The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization 24 Mar 2024 vwxyzjn/summarize_from_feedback_details/summarize_from_feedback_details/reward.py c64a8d32a7ed56ca unverified MIT (permissive)
Dense Reward for Free in Reinforcement Learning from Human Feedback 1 Feb 2024 xanderjc/attention-based-credit/abcrl/reward_modelling/starling.py 6d632dad98d9d43e ran MIT (permissive)
Contrastive Difference Predictive Coding 31 Oct 2023 chongyi-zheng/td_infonce/envs/fetch_envs.py 35bd6ebd08652e20 ran MIT (permissive)
Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning 2023-10 (from id) zhhe11/iidrs/recommendationReady/interact_rl.py cdd14236b5d5dafa ran · our draft was wrong no licence file found · pointer only
Hierarchical Graph Transformer with Adaptive Node Sampling 8 Oct 2022 zaixizhang/ans-gt/main_adaptive.py 11da82521241501c ran · our draft was wrong no licence file found · pointer only
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery 4 Jun 2021 yulun-rayn/dgapn/dgapn/reward/get_reward.py d7caa82df22437b8 unverified MIT (permissive)
Addressing the Long-term Impact of ML Decisions via Policy Regret 2 Jun 2021 david-lindner/single-peaked-bandits/src/single_peaked_bandits/fico_experiment/preprocessing.py aac98b644db36e6f unverified Apache-2.0 (permissive)
Robust Outlier Arm Identification 21 Sep 2020 yinglunz/ROAI_ICML2020/ROAI_class.py 232905e0b4a83116 ran · fixture could not drive it fingerprinted licence not identified · pointer only
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting 18 Jun 2020 deepmind/offpolicy_selection_eslb/data.py c5467ffc43de8b9d unverified Apache-2.0 (permissive)
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow 1 Oct 2018 reinforcement-learning-kr/lets-do-irl/mountaincar/maxent/maxent.py ac908e366f291aaa 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