Continuous control with deep reinforcement learning

Timothy Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daan Wierstra

doi:https://doi.org/10.48550/arxiv.1509.02971

Continuous control with deep reinforcement learning

2015 · arXiv (Cornell University) · 5,370 citations · 10 from inside this corpus

Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, Daan Wierstra

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.

15 of 15 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.

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Robust Physical-World Attacks on Deep Learning Visual Classification→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
High-Dimensional Continuous Control Using Generalized Advantage Estimation→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
End-to-end training of deep visuomotor policies→Continuous control with deep reinforcement learningLegacy 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→Continuous control with deep 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→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy 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→Deterministic Policy Gradient AlgorithmsLegacy 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→Playing Atari 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
Asynchronous Methods for Deep Reinforcement Learning→High-Dimensional Continuous Control Using Generalized Advantage EstimationLegacy 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→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Asynchronous Methods for Deep Reinforcement Learning→End-to-End Training of Deep Visuomotor PoliciesLegacy 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→Asynchronous Methods for 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
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…→Deterministic Policy Gradient AlgorithmsLegacy 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
Addressing Function Approximation Error in Actor-Critic Methods→Deterministic Policy Gradient AlgorithmsLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Deep Reinforcement Learning That MattersLegacy edge — source detail unavailable
Addressing Function Approximation Error in Actor-Critic Methods→Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…Legacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→Deterministic Policy Gradient AlgorithmsLegacy 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→Addressing Function Approximation Error in Actor-Critic MethodsLegacy edge — source detail unavailable
Soft Actor-Critic Algorithms and Applications→End-to-end training of deep visuomotor policiesLegacy edge — source detail unavailable
End-to-end training of deep visuomotor policies→Playing Atari with Deep Reinforcement LearningLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Adam: A Method for Stochastic Optimization	2014	84,698
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…	2024	15,663
Playing Atari with Deep Reinforcement Learning	2013	5,104
Deterministic Policy Gradient Algorithms	2014	1,736
End-to-End Training of Deep Visuomotor Policies	2015	1,400

What cites it, inside the corpus

Paper	Year	Cited
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…	2018	3,500
Bootstrap your own latent: A new approach to self-supervised Learning	2020	3,447
Addressing Function Approximation Error in Actor-Critic Methods	2018	2,372
Robust Physical-World Attacks on Deep Learning Visual Classification	2018	2,154
Soft Actor-Critic Algorithms and Applications	2018	1,994
High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	1,746
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
Adaptive Dynamic Programming Control	Computer Science
Advanced Control Systems Optimization	Engineering

Is this record sound?

complete

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

supports8 author record(s) attached.
supports26 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 2026-09-04T03:58:44+00:00.

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