Methods › Reinforcement Learning › Off-Policy TD Control › Clipped Double Q-learning › Papers where code ran, page 1
Clipped Double Q-learning
Papers archive 2025-07-28
archive papers tagged: 122 · with a code link: 49 · where Syntology ran a sample: 18 (17 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 (18 of 122 tagged: 17 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 18 of the 18 tagged papers where Syntology ran at least one harvested sample (17 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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Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning 6 Jun 2025 · 1 repository · arXiv:2506.05968Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 4 harvested samples)
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Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers 31 Oct 2024 · 1 repository · arXiv:2410.24108Syntology 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) · 3 unverified (of 7 harvested samples) · 7 pointer-only (licence)
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NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation 30 Oct 2024 · 1 repository · arXiv:2411.04138Syntology official (archive's flag): 6 ran · 15 ran (of which 2 constructed an object rather than computing a result; 12 with no instrument failure: 4 honoured, 0 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 18 harvested samples) · 1 pointer-only (licence)
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Reconciling Spatial and Temporal Abstractions for Goal Representation 18 Jan 2024 · 1 repository · arXiv:2401.09870Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified (of 11 harvested samples) · 11 pointer-only (licence)
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Distributional Soft Actor-Critic with Three Refinements 9 Oct 2023 · 2 repositories · arXiv:2310.05858Syntology official (archive's flag): 5 ran · 5 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; 1 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples) · 5 pointer-only (licence)
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For SALE: State-Action Representation Learning for Deep Reinforcement Learning 4 Jun 2023 · 2 repositories · arXiv:2306.02451Syntology official (archive's flag): 2 ran · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 1 pointer-only (licence)
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Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning 13 Feb 2023 · 1 repository · arXiv:2302.06548Syntology 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, 1 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 1 pointer-only (licence)
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Extreme Q-Learning: MaxEnt RL without Entropy 5 Jan 2023 · 4 repositories · arXiv:2301.02328Syntology 8 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 5 unverified (of 13 harvested samples) · 7 pointer-only (licence)
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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning 24 Nov 2021 · 1 repository · arXiv:2111.12673Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Memory-based Deep Reinforcement Learning for POMDPs 24 Feb 2021 · 1 repository · arXiv:2102.12344Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
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Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking 15 Nov 2020 · 1 repository · arXiv:2011.07537Syntology official (archive's flag): 3 ran · 3 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; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
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Sample-Efficient Automated Deep Reinforcement Learning 3 Sep 2020 · 1 repository · arXiv:2009.01555Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Smooth Exploration for Robotic Reinforcement Learning 12 May 2020 · 4 repositories · arXiv:2005.05719Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Online Meta-Critic Learning for Off-Policy Actor-Critic Methods 11 Mar 2020 · 1 repository · arXiv:2003.05334Syntology official (archive's flag): 6 ran · 6 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 6 samples that ran constructed an object rather than computing a result (of 6 harvested samples) · 6 pointer-only (licence)
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Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning 23 Jan 2020 · 4 repositories · arXiv:2001.08726Syntology 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)
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Proximal Distilled Evolutionary Reinforcement Learning 24 Jun 2019 · 1 repository · arXiv:1906.09807Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
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Collaborative Evolutionary Reinforcement Learning 2 May 2019 · 1 repository · arXiv:1905.00976Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
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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)