Playing Atari with Deep Reinforcement Learning

Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Alex Graves; Ioannis Antonoglou; Daan Wierstra; Martin Riedmiller

doi:https://doi.org/10.48550/arxiv.1312.5602

Playing Atari with Deep Reinforcement Learning

2013 · arXiv (Cornell University) · 5,104 citations · 15 from inside this corpus

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller

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.

20 of 20 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.

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Citation edge evidence

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

Deep learning in neural networks: An overview→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Continuous control with deep reinforcement learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Continuous control with deep reinforcement learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Towards A Rigorous Science of Interpretable Machine Learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Trust Region Policy Optimization→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Ensemble deep learning: A review→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
A Roadmap of Agent Research and Development→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
End-to-end training of deep visuomotor policies→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Playing Atari with Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Playing Atari with Deep Reinforcement Learning→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
Playing Atari with Deep Reinforcement Learning→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
Playing Atari with Deep Reinforcement Learning→Reinforcement Learning:Legacy edge — source detail unavailable
Playing Atari with Deep Reinforcement Learning→Temporal difference learning and TD-GammonLegacy edge — source detail unavailable
Deep learning in neural networks: An overview→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Deep learning in neural networks: An overview→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
Deep learning in neural networks: An overview→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech RecognitionLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→End-to-end training of deep visuomotor policiesLegacy edge — source detail unavailable
Continuous control with deep reinforcement learning→End-to-End Training of Deep Visuomotor PoliciesLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→End-to-End Training of Deep Visuomotor PoliciesLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→Deep Reinforcement Learning That MattersLegacy edge — source detail unavailable
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→End-to-end training of deep visuomotor policiesLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Trust Region Policy OptimizationLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Deep Reinforcement Learning That MattersLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→End-to-end training of deep visuomotor policiesLegacy edge — source detail unavailable
Continuous control with deep reinforcement learning→End-to-end training of deep visuomotor policiesLegacy edge — source detail unavailable
End-to-end training of deep visuomotor policies→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
End-to-end training of deep visuomotor policies→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep learning in neural networks: An overviewLegacy edge — source detail unavailable
Ensemble deep learning: A review→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Reinforcement Learning: An Introduction	2005	25,758
Speech recognition with deep recurrent neural networks	2013	8,916
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition	2011	3,089
Reinforcement Learning:	1998	1,575
Temporal difference learning and TD-Gammon	1995	1,493

What cites it, inside the corpus

Paper	Year	Cited
Deep learning in neural networks: An overview	2014	18,236
Continuous control with deep reinforcement learning	2016	6,783
Continuous control with deep reinforcement learning	2015	5,370
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…	2018	3,500
Towards A Rigorous Science of Interpretable Machine Learning	2017	3,190
Trust Region Policy Optimization	2015	3,129
Federated Learning in Mobile Edge Networks: A Comprehensive Survey	2020	2,538
Ensemble deep learning: A review	2022	2,136
A Roadmap of Agent Research and Development	1998	2,099
Soft Actor-Critic Algorithms and Applications	2018	1,994
Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	1,783
End-to-end training of deep visuomotor policies	2016	1,706
Asynchronous Methods for Deep Reinforcement Learning	2016	1,689
Deep Reinforcement Learning That Matters	2018	1,580
End-to-End Training of Deep Visuomotor Policies	2015	1,400

Links

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Topics

Reinforcement Learning in Robotics	Computer Science
Artificial Intelligence in Games	Computer Science
Advanced Bandit Algorithms Research	Decision Sciences

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complete

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supports7 author record(s) attached.
supports29 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

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