Methods › Reinforcement Learning › Q-Learning Networks › Double DQN
Double DQN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Double Deep Q-Network, or Double DQN utilises Double Q-learning to reduce overestimation by decomposing the max operation in the target into action selection and action evaluation. We evaluate the greedy policy according to the online network, but we use the target network to estimate its value. The update is the same as for DQN, but replacing the target Y^(DQN)ₜ with:
Y^(DoubleDQN)ₜ = Rₜ₊₁+γQ(Sₜ₊₁, maxₐQ(Sₜ₊₁, a; θₜ);θₜ⁻)
Compared to the original formulation of Double Q-Learning, in Double DQN the weights of the second network θ^′ₜ are replaced with the weights of the target network θₜ⁻ for the evaluation of the current greedy policy.
Papers archive 2025-07-28
30 shown of 45, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization 31 Mar 2025 · 0 repositories · arXiv:2503.23659
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Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework 17 Dec 2024 · 0 repositories · arXiv:2412.12597
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A New View on Planning in Online Reinforcement Learning 3 Jun 2024 · 0 repositories · arXiv:2406.01562
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Advancing Algorithmic Trading: A Multi-Technique Enhancement of Deep Q-Network Models 9 Nov 2023 · 0 repositories · arXiv:2311.05743
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Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets 25 Sep 2023 · 0 repositories · arXiv:2309.13955
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Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions 20 Sep 2023 · 0 repositories · arXiv:2309.10980
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Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication 5 Jul 2023 · 0 repositories · arXiv:2307.02002
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Vanishing Bias Heuristic-guided Reinforcement Learning Algorithm 17 Jun 2023 · 0 repositories · arXiv:2306.10216
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Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning 10 May 2023 · 1 repository · arXiv:2305.06295
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Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity 7 May 2023 · 1 repository · arXiv:2305.04180
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Neighboring state-based RL Exploration 21 Dec 2022 · 0 repositories · arXiv:2212.10712
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Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks 7 Oct 2022 · 0 repositories · arXiv:2210.03325
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M²DQN: A Robust Method for Accelerating Deep Q-learning Network 16 Sep 2022 · 1 repository · arXiv:2209.07809
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Deep Reinforcement Learning with Swin Transformers 30 Jun 2022 · 1 repository · arXiv:2206.15269
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Goal-Space Planning with Subgoal Models 6 Jun 2022 · 0 repositories · arXiv:2206.02902
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Random Ensemble Reinforcement Learning for Traffic Signal Control 10 Mar 2022 · 0 repositories · arXiv:2203.05961
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skrl: Modular and Flexible Library for Reinforcement Learning 8 Feb 2022 · 1 repository · arXiv:2202.03825
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An Improved Reinforcement Learning Algorithm for Learning to Branch 17 Jan 2022 · 0 repositories · arXiv:2201.06213
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Intelligent Traffic Light via Policy-based Deep Reinforcement Learning 27 Dec 2021 · 1 repository · arXiv:2112.13817
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Modified Double DQN: addressing stability 9 Aug 2021 · 0 repositories · arXiv:2108.04115
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An Improved Algorithm of Robot Path Planning in Complex Environment Based on Double DQN 23 Jul 2021 · 0 repositories · arXiv:2107.11245
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A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis 15 Jul 2021 · 1 repository · arXiv:2107.07373
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Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems 27 May 2021 · 0 repositories · arXiv:2105.12899
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Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem 22 Apr 2021 · 1 repository · arXiv:2104.10917
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Greedy-Step Off-Policy Reinforcement Learning 23 Feb 2021 · 0 repositories · arXiv:2102.11717
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Adaptive Rational Activations to Boost Deep Reinforcement Learning 18 Feb 2021 · 4 repositories · arXiv:2102.09407Syntology ran 6 of 6 samples · 0 unverified · 3 pointer-only (licence)
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Mobile Robots Autonomous Exploration with Reinforcement Learning 14 Dec 2020 · 0 repositories
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Self-correcting Q-Learning 2 Dec 2020 · 0 repositories · arXiv:2012.01100
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Chrome Dino Run using Reinforcement Learning 15 Aug 2020 · 0 repositories · arXiv:2008.06799
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Reinforcement Learning with Quantum Variational Circuits 15 Aug 2020 · 2 repositories · arXiv:2008.07524
Tasks archive 2025-07-28
20 shown of 43 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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