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OUNoise

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

OUNoise appears in the code Syntology harvested for 6 papers, as 18 distinct code bodies found in 18 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 OUNoise 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 18 of the 18 distinct code bodies named OUNoise; 0 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

18ran

0unverified

0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 18 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

6 papers shown of 6, newest first; 18 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 1 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.

Paper	Date	File	Status Syntology	Licence
RL-ABC: Reinforcement Learning for Accelerator Beamline Control added by Syntology	2026-04 (from id)	Anwar9Ibrahim/RL-ABC/rl_framework/Agents/DDPG.py `a1ab3164a1f62a5a`	ran	MIT (permissive)
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search	20 May 2023	yhisaki/average-reward-drl/average_reward_drl/algorithms/aro_ddpg.py `1e3101a1ad8f1b30`	ran	no licence file found · pointer only
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration	16 Mar 2022	yeshenpy/pmic/algorithms/mpe_new_maxminMADDPG.py `5a6b141fd404c7c4`	ran · metamorphic tier: well formed	MIT (permissive)
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	7 Jun 2017	MrDaubinet/collaboration-and-competition/maddpg.py `db3bd13d21d6150c`	ran	no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	7 Jun 2017	biemann/Collaboration-and-Competition/maddpg.py `555ae48ebffc59d4`	ran	no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments	7 Jun 2017	krasing/DRLearningCollaboration/failed_collaborative/ddpg_agent_multi_2.py `a169b2555a871836`	ran	no licence file found · pointer only
Asynchronous Methods for Deep Reinforcement Learning	4 Feb 2016	Remtasya/DDPG-Actor-Critic-Reinforcement-Learning-Reacher-Environment/ddpg_agent.py `1f98ee39e6a11d66`	ran · metamorphic tier: well formed	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	dpoulopoulos/drl_collaborate_compete/ddpg_agent.py `e47034c4a39da307`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	YoUNG824/DDPG/ddpg.py `85896c6b57d5891f`	ran	MIT (permissive)
Continuous control with deep reinforcement learning	9 Sep 2015	iDataist/Continuous-Control-with-Deep-Deterministic-Policy-Gradient/ddpg_agent.py `f0163af304a40792`	ran	MIT (permissive)
Continuous control with deep reinforcement learning	9 Sep 2015	dan-lennox/ml-udacity-quadcopter-rl/agents/agent.py `046c7d82e0f35a06`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	IvanVigor/Deep-Deterministic-Policy-Gradient-Unity-Env/ddpg_agent.py `d7af24edd798e11c`	ran	GPL-3.0 (copyleft) · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	EyaRhouma/collaboration-competition-MADDPG/MADDPG_agent.py `0562ed655f21cba8`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	ZainRaza14/deepRL/DDPG/ddpg_agent.py `21303179927140a0`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	madhur-tandon/RL-Project/agent.py `7e2a8290108cb3ea`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	biemann/Continuous-Control/ddpg_agent.py `06e140e447cd7fb3`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	claudeHifly/BipedalWalker-v3/DDPG/ddpg_agent.py `affd388fecde62eb`	ran	no licence file found · pointer only
Continuous control with deep reinforcement learning	9 Sep 2015	WittmannF/quadcopter-best-practices/agent.py `6d50e581fbec00bb`	ran	no licence file found · pointer only

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