Methods › Reinforcement Learning › Randomized Value Functions › REM › Papers where code ran, page 1
Random Ensemble Mixture
REM
Papers archive 2025-07-28
archive papers tagged: 48 · with a code link: 17 · where Syntology ran a sample: 6 (5 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (6 of 48 tagged: 5 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)
Syntology We ran code from the paper's repository; we did not isolate this method inside it.
Page 1 of 1: papers 1 to 6 of the 6 tagged papers where Syntology ran at least one harvested sample (5 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Efficient and Private Marginal Reconstruction with Local Non-Negativity 1 Oct 2024 · 1 repository · arXiv:2410.01091Syntology official (archive's flag): 17 ran · 17 ran (of which 2 constructed an object rather than computing a result; 12 with no instrument failure: 10 honoured, 0 violated, 2 with no contract checked; 5 where Syntology's instrument failed) · 8 unverified (of 25 harvested samples) · 25 pointer-only (licence)
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Improving Token-Based World Models with Parallel Observation Prediction 8 Feb 2024 · 1 repository · arXiv:2402.05643Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples) · 9 pointer-only (licence)
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EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification 24 Apr 2022 · 1 repository · arXiv:2204.11205Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 6 harvested samples) · 2 pointer-only (licence)
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Learning cortical representations through perturbed and adversarial dreaming 9 Sep 2021 · 1 repository · arXiv:2109.04261Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
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Vision-Language Navigation with Random Environmental Mixup 15 Jun 2021 · 1 repository · arXiv:2106.07876Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 4 harvested samples)
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Conservative Q-Learning for Offline Reinforcement Learning 8 Jun 2020 · 18 repositories · arXiv:2006.04779Syntology community repositories only · 31 ran (of which 5 constructed an object rather than computing a result; 28 with no instrument failure: 2 honoured, 0 violated, 26 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 34 harvested samples) · 19 pointer-only (licence)