Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt; Arthur Guez; David Silver

doi:https://doi.org/10.1609/aaai.v30i1.10295

Deep Reinforcement Learning with Double Q-Learning

2016 · Proceedings of the AAAI Conference on Artificial Intelligence · 3,516 citations · 8 from inside this corpus

Hado van Hasselt, Arthur Guez, David Silver

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Overcoming catastrophic forgetting in neural networks→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning: A Brief Survey→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
A Roadmap of Agent Research and Development→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Dueling Network Architectures for Deep Reinforcement Learning→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Federated Learning for Healthcare Informatics→Deep Reinforcement Learning with Double Q-LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Reinforcement Learning: A SurveyLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Introduction to Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Learning from Delayed RewardsLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Learning to predict by the methods of temporal differencesLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Self-improving reactive agents based on reinforcement learning, planning and teachingLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Temporal difference learning and TD-GammonLegacy edge — source detail unavailable
Deep Reinforcement Learning with Double Q-Learning→Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…Legacy edge — source detail unavailable
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…→Learning to predict by the methods of temporal differencesLegacy edge — source detail unavailable
Reinforcement Learning: A Survey→Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…Legacy edge — source detail unavailable
Reinforcement Learning: A Survey→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
Reinforcement Learning: A Survey→Learning from Delayed RewardsLegacy edge — source detail unavailable
Temporal difference learning and TD-Gammon→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
Self-improving reactive agents based on reinforcement learning, planning and teaching→Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…Legacy edge — source detail unavailable
Self-improving reactive agents based on reinforcement learning, planning and teaching→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
Self-improving reactive agents based on reinforcement learning, planning and teaching→Learning from Delayed RewardsLegacy edge — source detail unavailable
Dueling Network Architectures for Deep Reinforcement Learning→Introduction to Reinforcement LearningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Self-improving reactive agents based on reinforcement learning, planning and teachingLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Dueling Network Architectures for Deep Reinforcement LearningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Learning to predict by the methods of temporal differencesLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Self-improving reactive agents based on reinforcement learning, planning and teachingLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Learning from Delayed RewardsLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Reinforcement Learning: A Brief SurveyLegacy edge — source detail unavailable
Federated Learning for Healthcare Informatics→Federated Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy edge — source detail unavailable
Deep Reinforcement Learning: A Brief Survey→Temporal difference learning and TD-GammonLegacy edge — source detail unavailable
Deep Reinforcement Learning: A Brief Survey→Self-improving reactive agents based on reinforcement learning, planning and teachingLegacy edge — source detail unavailable
Deep Reinforcement Learning: A Brief Survey→Dueling Network Architectures for Deep Reinforcement LearningLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Reinforcement Learning: A Survey	1996	8,953
Introduction to Reinforcement Learning	1998	6,917
Learning from Delayed Rewards	1989	5,473
Learning to Predict by the Methods of Temporal Differences	1988	3,970
Learning to predict by the methods of temporal differences	1988	2,818
Self-improving reactive agents based on reinforcement learning, planning and teaching	1992	1,656
Temporal difference learning and TD-Gammon	1995	1,493
Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dyna…	1990	1,375

What cites it, inside the corpus

Paper	Year	Cited
Overcoming catastrophic forgetting in neural networks	2017	7,624
Deep Reinforcement Learning: A Brief Survey	2017	4,434
Federated Learning in Mobile Edge Networks: A Comprehensive Survey	2020	2,538
Addressing Function Approximation Error in Actor-Critic Methods	2018	2,372
A Roadmap of Agent Research and Development	1998	2,099
Dueling Network Architectures for Deep Reinforcement Learning	2015	1,811
Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	1,783
Federated Learning for Healthcare Informatics	2020	1,497

Links

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Topics

Reinforcement Learning in Robotics	Computer Science
Evolutionary Algorithms and Applications	Computer Science
Adversarial Robustness in Machine Learning	Computer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports34 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…