Methods › Reinforcement Learning › Q-Learning Networks › DQN › Papers where code ran, page 1
Deep Q-Network
DQN
Papers archive 2025-07-28
archive papers tagged: 519 · with a code link: 173 · where Syntology ran a sample: 47 (36 with a run with no instrument failure, 11 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (47 of 519 tagged: 36 with a run with no instrument failure, 11 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 47 of the 47 tagged papers where Syntology ran at least one harvested sample (36 with a run with no instrument failure, 11 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)
-
CALE: Continuous Arcade Learning Environment 31 Oct 2024 · 1 repository · arXiv:2410.23810Syntology 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) · 1 pointer-only (licence)
-
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)
-
Simplifying Deep Temporal Difference Learning 5 Jul 2024 · 1 repository · arXiv:2407.04811Syntology 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) · 0 unverified (of 3 harvested samples)
-
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)
-
Averaging n-step Returns Reduces Variance in Reinforcement Learning 6 Feb 2024 · 0 repositories · arXiv:2402.03903Syntology 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) · 3 unverified (of 8 harvested samples) · 6 pointer-only (licence)
-
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent 5 Feb 2024 · 3 repositories · arXiv:2402.10228Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 7 harvested samples)
-
AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design 4 Dec 2023 · 1 repository · arXiv:2312.02308Syntology official (archive's flag): 1 ran · 1 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; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
-
Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments 27 Nov 2023 · 1 repository · arXiv:2311.15925Syntology 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) · 2 unverified (of 7 harvested samples)
-
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning 1 Nov 2023 · 1 repository · arXiv:2311.00865Syntology 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)
-
Weakly Coupled Deep Q-Networks 28 Oct 2023 · 0 repositories · arXiv:2310.18803Syntology 5 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 5 unverified (of 10 harvested samples) · 10 pointer-only (licence)
-
Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction 27 Nov 2022 · 1 repository · arXiv:2211.14939Syntology official (archive's flag): 11 ran · 11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 13 harvested samples)
-
A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games 18 Jul 2022 · 2 repositories · arXiv:2207.08894Syntology 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) · 5 unverified (of 10 harvested samples)
-
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning 30 May 2022 · 1 repository · arXiv:2205.14842Syntology 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) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
-
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)
-
Faster Deep Reinforcement Learning with Slower Online Network 10 Dec 2021 · 1 repository · arXiv:2112.05848Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 9 harvested samples)
-
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)
-
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)
-
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)
-
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning 11 Jun 2021 · 1 repository · arXiv:2106.06135Syntology official (archive's flag): 2 ran · 3 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples) · 1 pointer-only (licence)
-
Adapting to Reward Progressivity via Spectral Reinforcement Learning 29 Apr 2021 · 1 repository · arXiv:2104.14138Syntology official (archive's flag): 2 ran · 2 ran (of which 2 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) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result (of 2 harvested samples) · 2 pointer-only (licence)
-
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)
-
Reinforcement Learning with Latent Flow 6 Jan 2021 · 2 repositories · arXiv:2101.01857Syntology 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) · 0 unverified (of 1 harvested sample)
-
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)
-
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps 18 May 2020 · 1 repository · arXiv:2005.08874Syntology official (archive's flag): 9 ran · 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)
-
Optimistic Exploration even with a Pessimistic Initialisation 26 Feb 2020 · 1 repository · arXiv:2002.12174Syntology 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)
-
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)
-
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)
-
Towards Empathic Deep Q-Learning 26 Jun 2019 · 1 repository · arXiv:1906.10918Syntology 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) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
-
MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments 7 Mar 2019 · 3 repositories · arXiv:1903.03176Syntology official: harvested, nothing ran · 2 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; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
-
Deep Reinforcement Learning for Imbalanced Classification 5 Jan 2019 · 3 repositories · arXiv:1901.01379Syntology 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) · 2 unverified (of 6 harvested samples)
-
Off-Policy Deep Reinforcement Learning without Exploration 7 Dec 2018 · 10 repositories · arXiv:1812.02900Syntology community repositories only · 14 ran (of which 12 constructed an object rather than computing a result; 14 with no instrument failure: 1 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 14 harvested samples) · 9 pointer-only (licence)
-
Deep Multi-Agent Reinforcement Learning with Relevance Graphs 30 Nov 2018 · 1 repository · arXiv:1811.12557Syntology 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) · 6 unverified (of 7 harvested samples)
-
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning 15 Oct 2018 · 2 repositories · arXiv:1810.06530Syntology 7 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 5 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples) · 7 pointer-only (licence)
-
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space 10 Oct 2018 · 5 repositories · arXiv:1810.06394Syntology 2 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; 1 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
-
Implicit Quantile Networks for Distributional Reinforcement Learning 14 Jun 2018 · 19 repositories · arXiv:1806.06923Syntology 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) · 0 unverified (of 2 harvested samples)
-
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning 18 Dec 2017 · 12 repositories · arXiv:1712.06567Syntology 4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 4 pointer-only (licence)
-
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning 31 Oct 2017 · 1 repository · arXiv:1710.11417Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 12 harvested samples) · 1 pointer-only (licence)
-
Distributional Reinforcement Learning with Quantile Regression 27 Oct 2017 · 17 repositories · arXiv:1710.10044Syntology 2 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; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 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)
-
Parameter Space Noise for Exploration 6 Jun 2017 · 10 repositories · arXiv:1706.01905Syntology 4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
-
Count-Based Exploration with Neural Density Models 3 Mar 2017 · 1 repository · arXiv:1703.01310Syntology 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) · 0 unverified (of 1 harvested sample)
-
Deep Exploration via Bootstrapped DQN 15 Feb 2016 · 6 repositories · arXiv:1602.04621Syntology 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) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
-
Prioritized Experience Replay 18 Nov 2015 · 77 repositories · arXiv:1511.05952Syntology 80 ran (of which 62 constructed an object rather than computing a result; 72 with no instrument failure: 4 honoured, 0 violated, 68 with no contract checked; 8 where Syntology's instrument failed) · 31 unverified (of 111 harvested samples) · 43 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)
-
Playing Atari with Deep Reinforcement Learning 19 Dec 2013 · 112 repositories · arXiv:1312.5602Syntology 64 ran (of which 24 constructed an object rather than computing a result; 46 with no instrument failure: 5 honoured, 0 violated, 41 with no contract checked; 18 where Syntology's instrument failed) · 53 unverified (of 117 harvested samples) · 56 pointer-only (licence)