Methods › Reinforcement Learning › Off-Policy TD Control › Double Q-learning › Papers where code ran, page 1
Double Q-learning
Papers archive 2025-07-28
archive papers tagged: 112 · with a code link: 45 · where Syntology ran a sample: 15 (13 with a run with no instrument failure, 2 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (15 of 112 tagged: 13 with a run with no instrument failure, 2 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 15 of the 15 tagged papers where Syntology ran at least one harvested sample (13 with a run with no instrument failure, 2 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.
-
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC 6 Nov 2024 · 3 repositories · arXiv:2411.03820Syntology official (archive's flag): 3 ran · 16 ran (of which 10 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 3 where Syntology's instrument failed) · 9 unverified (of 25 harvested samples) · 21 pointer-only (licence)
-
Dropout Q-Functions for Doubly Efficient Reinforcement Learning 5 Oct 2021 · 2 repositories · arXiv:2110.02034Syntology official (archive's flag): 1 ran · 6 ran (of which 3 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 8 harvested samples)
-
On the Estimation Bias in Double Q-Learning 29 Sep 2021 · 1 repository · arXiv:2109.14419Syntology official (archive's flag): 4 ran · 4 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
-
Deep Reinforcement Learning at the Edge of the Statistical Precipice 30 Aug 2021 · 3 repositories · arXiv:2108.13264Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 4 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
-
Adaptive Rational Activations to Boost Deep Reinforcement Learning 18 Feb 2021 · 4 repositories · arXiv:2102.09407Syntology official (archive's flag): 6 ran · 6 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; 6 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples) · 3 pointer-only (licence)
-
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model 15 Jan 2021 · 6 repositories · arXiv:2101.05982Syntology community repositories only · 4 ran (of which 4 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) · 1 unverified; every one of the 4 samples that ran constructed an object rather than computing a result (of 5 harvested samples) · 3 pointer-only (licence)
-
QPLEX: Duplex Dueling Multi-Agent Q-Learning 3 Aug 2020 · 6 repositories · arXiv:2008.01062Syntology community repositories only · 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) · 1 pointer-only (licence)
-
The Mean-Squared Error of Double Q-Learning 9 Jul 2020 · 1 repository · arXiv:2007.05034Syntology 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) · 1 unverified (of 3 harvested samples)
-
SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning 28 Dec 2019 · 1 repository · arXiv:1912.12482Syntology official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples)
-
Distributed Prioritized Experience Replay 2 Mar 2018 · 15 repositories · arXiv:1803.00933Syntology 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 15 harvested samples) · 3 pointer-only (licence)
-
Addressing Function Approximation Error in Actor-Critic Methods 26 Feb 2018 · 67 repositories · arXiv:1802.09477Syntology community repositories only · 26 ran (of which 0 constructed an object rather than computing a result; 25 with no instrument failure: 1 honoured, 1 violated, 23 with no contract checked; 1 where Syntology's instrument failed) · 10 unverified (of 36 harvested samples) · 21 pointer-only (licence)
-
Rainbow: Combining Improvements in Deep Reinforcement Learning 6 Oct 2017 · 34 repositories · arXiv:1710.02298Syntology 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 1 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples) · 1 pointer-only (licence)
-
Noisy Networks for Exploration 30 Jun 2017 · 15 repositories · arXiv:1706.10295Syntology 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) · 2 unverified (of 3 harvested samples) · 3 pointer-only (licence)
-
Dueling Network Architectures for Deep Reinforcement Learning 20 Nov 2015 · 73 repositories · arXiv:1511.06581Syntology 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 3 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 11 harvested samples) · 7 pointer-only (licence)
-
Deep Reinforcement Learning with Double Q-learning 22 Sep 2015 · 97 repositories · arXiv:1509.06461Syntology 56 ran (of which 38 constructed an object rather than computing a result; 55 with no instrument failure: 0 honoured, 0 violated, 55 with no contract checked; 1 where Syntology's instrument failed) · 50 unverified (of 106 harvested samples) · 57 pointer-only (licence)