Home › Code › soft_update

soft_update

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

soft_update appears in the code Syntology harvested for 8 papers, as 14 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 0 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 soft_update 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 0 of the 14 distinct code bodies named soft_update; 14 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
0ran
14unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 14 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

8 papers shown of 8, newest first; 14 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; 1 papers have no page here and are shown by arXiv id only. 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
arXiv:2411.00610 2024-11 (from id) lviano/p2il/deep_PPIL/iq.py f4f61a3c20d542b0 unverified no licence file found · pointer only
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning 20 Feb 2024 hmhuy0/SPRINQL/Sources/algos/sprinql.py 168373daffe72add unverified MIT (permissive)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption 19 Oct 2023 yangrui2015/riql/RIQL.py cca4505f10b19283 unverified no licence file found · pointer only
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble 4 Oct 2021 corl-team/CORL/algorithms/offline/edac.py 12fd41e242a13169 unverified Apache-2.0 (permissive)
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets 16 Jun 2020 linhlpv/Offline-and-OfflineOnline-RL/AWAC/awac.py 1ddf841eed24fa3a unverified no licence file found · pointer only
Effective Diversity in Population Based Reinforcement Learning 3 Feb 2020 holounic/DvD-TD3/td3/algorithm.py ea8c4add89ea88fb unverified no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 Rafael1s/Deep-Reinforcement-Learning-Udacity/Ant-PyBulletEnv-Soft-Actor-Critic/sac_agent.py f735812881238a1f unverified no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 ku2482/discor.pytorch/discor/algorithm/sac.py e8abbe917721f0c8 unverified MIT (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 ShawK91/Evolutionary-Reinforcement-Learning/algos/sac.py fcdeb82694a504e1 unverified no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 garyzyr001/rethinking-airl/airl/algo/sac.py 8dc0540b8dfe9b97 unverified no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 MarsEleven/car_racer_RL/sac/sac.py ace24484ab1d6b7f unverified no licence file found · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 ajaysub110/rl-pytorch/sac/models/soft_actor_critic.py 54ab8d446018b958 unverified no licence file found · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 Chan1998/MAAC/algorithms/attention_sac.py f36b207d39a0f07a unverified licence not identified · pointer only
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 7 Jun 2017 isp1tze/MAProj/algo/maddpg/maddpg_agent.py f0ba29ce2b116d79 unverified 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