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Policy

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

Policy appears in the code Syntology harvested for 23 papers, as 26 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 7 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 Policy 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 15 of the 26 distinct code bodies named Policy; 11 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
15ran
11unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 26 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

23 papers shown of 23, newest first; 26 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 5 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
Decision-Calibrated Conformal Uncertainty for Pacing Decisions in Streaming Advertising added by Syntology 2026-06 (from id) p-shekhar/pacing-decisions-advertising/src/pacing.py 4f0d15e65ff0dada unverified MIT (permissive)
Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets added by Syntology 2026-05 (from id) zq2r/V2A/algo/offline_offline/v2a_igdf.py 17fe358051cb051d ran fingerprinted no licence file found · pointer only
Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning added by Syntology 2026-05 (from id) dmksjfl/OTDF/algo/OTDF.py de82e16ed1f96d63 ran fingerprinted no licence file found · pointer only
Debiased Model-based Representations for Sample-efficient Continuous Control added by Syntology 2026-05 (from id) dmksjfl/DR.Q/DRQ/DRQ.py 63154df49f509367 ran MIT (permissive)
Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts added by Syntology 2025-12 (from id) zq2r/DROCO/algo/offline_offline/droco.py 8a661ac1c9e4bfbf ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
Learning on One Mode: Addressing Multi-Modality in Offline Reinforcement Learning 4 Dec 2024 MianchuWang/LOM/agents/lom.py 131334e831c564cd ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
Learning Formal Mathematics From Intrinsic Motivation 30 Jun 2024 gpoesia/minimo/learning/proofsearch.py 125ede135fa4d524 unverified MIT (permissive)
Cross-Domain Policy Adaptation by Capturing Representation Mismatch 24 May 2024 dmksjfl/par/algo/PAR.py 410b5d459ab3fd2b ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only
DPO: A Differential and Pointwise Control Approach to Reinforcement Learning 24 Apr 2024 mpnguyen2/dfPO/policy.py 6888d4461df5d507 ran MIT (permissive)
Direct Preference Optimization: Your Language Model is Secretly a Reward Model 29 May 2023 sauc-abadal/alt/alt/trainer/alt_trainer.py 0a800ad29eb472ac ran MIT (permissive)
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning 24 May 2023 gximinglu/ipa/policy.py 4e0ff675e558ddf8 unverified Apache-2.0 (permissive)
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints 24 Jan 2023 likelyt/double-matching/code/MultiAgent.py da204097cd0b01b8 unverified no licence file found · pointer only
Model-Based Imitation Learning for Urban Driving 14 Oct 2022 wayveai/mile/mile/models/mile.py 74e17dd6e4bbca2a ran fingerprinted MIT (permissive)
Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering 6 Oct 2022 liujch1998/rainier/rainier/ppo.py af8e5334f66e1240 unverified Apache-2.0 (permissive)
Group Meritocratic Fairness in Linear Contextual Bandits 7 Jun 2022 csml-iit-ucl/gmfbandits/policies.py a0a343914e243cc8 unverified MIT (permissive)
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning 8 Oct 2020 alfworld/alfworld/alfworld/agents/modules/model.py 2ee19fbc662f9365 unverified MIT (permissive)
Hybrid Models for Learning to Branch 26 Jun 2020 pg2455/hybrid-learn2branch/models/film/model.py 2d9532467e473d7e unverified MIT (permissive)
Multi-agent Reinforcement Learning for Networked System Control 3 Apr 2020 cts198859/deeprl_network/agents/models.py e9f4e2bdaca97b40 unverified no licence file found · pointer only
Exploration by Random Network Distillation 30 Oct 2018 DuaneNielsen/rnd/novelty_policy.py 920f08f608d008cb unverified no licence file found · pointer only
Proximal Policy Optimization Algorithms 20 Jul 2017 tuanpnm99/RLPongAgent/Agent.py c02c0631708465dc ran · metamorphic tier: deterministic no licence file found · pointer only
Proximal Policy Optimization Algorithms 20 Jul 2017 mark-gluzman/NmodelPPO/actor_utils.py ec594f35cdf2f00e ran no licence file found · pointer only
Proximal Policy Optimization Algorithms 20 Jul 2017 ASzot/ppo-pytorch/model.py be3a23c2176d855c ran MIT (permissive)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 Zhiwei-Z/SeqPromp/meta_policy_search/meta_algos/base.py 0630f74816818382 ran MIT (permissive)
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 clrrrr/promp_plus/meta_policy_search/meta_algos/base.py 93275e38a44a53ec ran MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 guillaumeboniface/reacher/ddpg_controller.py 4e16ab1aa52fc01f ran fingerprinted no licence file found · pointer only
Trust Region Policy Optimization 19 Feb 2015 magnusja/ppo/src/policy.py b11d0213b416df62 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