Asynchronous Methods for Deep Reinforcement Learning

Volodymyr Mnih; Adrià Puigdomènech Badia; Mehdi Mirza; Alex Graves; Timothy Lillicrap; Tim Harley; David Silver; Koray Kavukcuoglu

doi:https://doi.org/10.48550/arxiv.1602.01783

Asynchronous Methods for Deep Reinforcement Learning

2016 · arXiv (Cornell University) · 1,689 citations · 8 from inside this corpus

Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu

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.

18 of 18 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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Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Mastering the game of Go without human knowledge→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Grandmaster level in StarCraft II using multi-agent reinforcement learning→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Long Short-Term MemoryLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→High-Dimensional Continuous Control Using Generalized Advantage EstimationLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→End-to-End Training of Deep Visuomotor PoliciesLegacy edge — source detail unavailable
High-Dimensional Continuous Control Using Generalized Advantage Estimation→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
High-Dimensional Continuous Control Using Generalized Advantage Estimation→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Adam: A Method for Stochastic Optimization→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
Adam: A Method for Stochastic Optimization→ADADELTA: An Adaptive Learning Rate MethodLegacy edge — source detail unavailable
Playing Atari with Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
End-to-End Training of Deep Visuomotor Policies→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Continuous control with deep reinforcement learning→Adam: A Method for Stochastic OptimizationLegacy 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→End-to-End Training of Deep Visuomotor PoliciesLegacy edge — source detail unavailable
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …→High-Dimensional Continuous Control Using Generalized Advantage EstimationLegacy edge — source detail unavailable
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→High-Dimensional Continuous Control Using Generalized Advantage EstimationLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Deep Reinforcement Learning That Matters→Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …Legacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Rainbow: Combining Improvements in Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
Mastering the game of Go without human knowledge→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→End-to-End Training of Deep Visuomotor PoliciesLegacy edge — source detail unavailable
A State-of-the-Art Survey on Deep Learning Theory and Architectures→Mastering the game of Go without human knowledgeLegacy edge — source detail unavailable
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Long Short-Term MemoryLegacy edge — source detail unavailable
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey→Mastering the game of Go without human knowledgeLegacy edge — source detail unavailable
Sigmoid-weighted linear units for neural network function approximation in reinforcement …→Mastering the game of Go without human knowledgeLegacy edge — source detail unavailable
Grandmaster level in StarCraft II using multi-agent reinforcement learning→Long Short-Term MemoryLegacy edge — source detail unavailable
Grandmaster level in StarCraft II using multi-agent reinforcement learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Long Short-Term Memory	1997	101,359
Adam: A Method for Stochastic Optimization	2014	84,698
Reinforcement Learning: An Introduction	2005	25,758
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization	2010	8,621
Simple statistical gradient-following algorithms for connectionist reinforcement learning	1992	7,519
ADADELTA: An Adaptive Learning Rate Method	2012	5,532
Continuous control with deep reinforcement learning	2015	5,370
Playing Atari with Deep Reinforcement Learning	2013	5,104
High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	1,746
End-to-End Training of Deep Visuomotor Policies	2015	1,400

What cites it, inside the corpus

Paper	Year	Cited
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …	2017	11,354
Mastering the game of Go without human knowledge	2017	9,313
Grandmaster level in StarCraft II using multi-agent reinforcement learning	2019	3,508
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey	2018	2,090
Sigmoid-weighted linear units for neural network function approximation in reinforcement …	2018	2,027
Rainbow: Combining Improvements in Deep Reinforcement Learning	2018	1,783
A State-of-the-Art Survey on Deep Learning Theory and Architectures	2019	1,619
Deep Reinforcement Learning That Matters	2018	1,580

Links

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Topics

Reinforcement Learning in Robotics	Computer Science
Advanced Memory and Neural Computing	Engineering
Domain Adaptation and Few-Shot Learning	Computer Science

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supports8 author record(s) attached.
supports32 reference(s) recorded.
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supportsA title is present.

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