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compute_reward

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

compute_reward appears in the code Syntology harvested for 26 papers, as 17 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 6 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 compute_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 4 of the 17 distinct code bodies named compute_reward; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 28 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

26 papers shown of 26, newest first; 28 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 11 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
Inverting the Bellman Equation: From Q-Values to World Models added by Syntology 2026-06 (from id) aletcher/inverting-bellman/training/wm.py 558feeda58f8f8b0 ran · our draft was wrong MIT (permissive)
A Regret Minimization Framework on Preference Learning in Large Language Models added by Syntology 2026-06 (from id) OpenRLHF/OpenRLHF/openrlhf/models/utils.py 812f2e3f5cda7c93 ran Apache-2.0 (permissive)
A Regret Minimization Framework on Preference Learning in Large Language Models added by Syntology 2026-06 (from id) YSLIU627/Regularized-Preference-Optimization/OpenRLHF/openrlhf/models/utils.py 99a2d91ea5aed978 unverified Apache-2.0 (permissive)
WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement added by Syntology 2026-03 (from id) lfy-123/WIST/openrlhf/models/utils.py 812f2e3f5cda7c93 ran Apache-2.0 (permissive)
Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem added by Syntology 2026-02 (from id) CoderrrSong/CoRAG/run_train.py 21b0c022839c8308 unverified no licence file found · pointer only
SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning added by Syntology 2026-01 (from id) jinyangwu/SPARK/agent_system/environments/env_package/alfworld/envs_spark.py bcf675e5b7ccd7fd unverified Apache-2.0 (permissive)
SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning added by Syntology 2026-01 (from id) jinyangwu/SPARK/agent_system/environments/env_package/sciworld/envs_spark.py 724e8c51164a5ff8 unverified Apache-2.0 (permissive)
Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning added by Syntology 2026-01 (from id) Rover912/PASMR/openrlhf/models/utils.py 0d27f3b8c425d79f unverified Apache-2.0 (permissive)
Towards Generalisable Imitation Learning Through Conditioned Transition Estimation and Online Behaviour Alignment added by Syntology 2026-01 (from id) NathanGavenski/UfO/models/utils/discriminator.py f525e5e2d8d5ebe1 unverified no licence file found · pointer only
Milestones over Outcome: Unlocking Geometric Reasoning with Sub-Goal Verifiable Reward added by Syntology 2026-01 (from id) FrontierX-Lab/SGVR/MM-EUREKA/openrlhf/models/utils.py 0d27f3b8c425d79f unverified Apache-2.0 (permissive)
E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models added by Syntology 2026-01 (from id) shengjun-zhang/VisualGRPO/fastvideo/reward_model/utils.py a6ffa44bdd5d788c unverified Apache-2.0 (permissive)
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning added by Syntology 2025-09 (from id) VsonicV/es-at-scale/archive/es_fine-tuning_conciseness.py 09dac1843ac531ad unverified licence not identified · pointer only
Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVR added by Syntology 2025-09 (from id) ritzz-ai/PACS/src/pacs/pacs_core_algos.py ce26874ffa04ebcc ran · our draft was wrong MIT (permissive)
Play to Generalize: Learning to Reason Through Game Play 9 Jun 2025 yunfeixie233/vigal/openrlhf/models/utils.py 0d27f3b8c425d79f unverified Apache-2.0 (permissive)
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment 21 May 2025 XingYuSSS/RLPA/openrlhf/models/utils.py 0d27f3b8c425d79f unverified Apache-2.0 (permissive)
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning 10 Apr 2025 tiger-ai-lab/vl-rethinker/openrlhf/models/utils.py 0d27f3b8c425d79f unverified Apache-2.0 (permissive)
Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining 10 Apr 2025 rosieyzh/openrlhf-pretrain/openrlhf/models/utils.py 0d27f3b8c425d79f unverified Apache-2.0 (permissive)
Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium 14 Mar 2025 szk123456789/Nash_RS/openrlhf/models/utils.py 99a2d91ea5aed978 unverified MIT (permissive)
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning 20 Feb 2025 OpenLLMAI/OpenLLaMA2/openrlhf/models/utils.py 812f2e3f5cda7c93 ran Apache-2.0 (permissive)
Demystifying Long Chain-of-Thought Reasoning in LLMs 5 Feb 2025 eddycmu/demystify-long-cot/openrlhf/openrlhf/models/utils.py 1db73767f2ebd35e unverified MIT (permissive)
Offline Reinforcement Learning for LLM Multi-Step Reasoning 20 Dec 2024 jwhj/oreo/openrlhf/models/utils.py 99a2d91ea5aed978 unverified Apache-2.0 (permissive)
Free Process Rewards without Process Labels 2 Dec 2024 lifan-yuan/implicitprm/train/openrlhf/models/utils.py 38b7cb8077e28347 unverified Apache-2.0 (permissive)
Matryoshka: Learning to Drive Black-Box LLMs with LLMs 28 Oct 2024 lichangh20/Matryoshka/models/utils.py 99a2d91ea5aed978 unverified no licence file found · pointer only
DPO Meets PPO: Reinforced Token Optimization for RLHF 29 Apr 2024 zkshan2002/RTO/openrlhf/models/utils.py 8b6588f381f57b54 ran Apache-2.0 (permissive)
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling 14 Feb 2024 miaoyuchun/InfoRM/openrlhf/models/utils.py 0d27f3b8c425d79f unverified no licence file found · pointer only
Preference-grounded Token-level Guidance for Language Model Fine-tuning 1 Jun 2023 yinyueqin/denserewardrlhf-ppo/denserlhf/trainer/ppo_utils/experience_maker.py b96e5125bdaa4277 unverified Apache-2.0 (permissive)
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation 13 Jul 2021 PierreMarza/autonerf/policy/rewards.py 8916fff81fdefd69 unverified MIT (permissive)
Variational Adversarial Active Learning 31 Mar 2019 johntiger1/vaal_querying/rl_mnist.py e504dc7831b960c5 unverified BSD-2-Clause (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".

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