Who Cited It

Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

2017 · 1,468 citations · 2 from inside this corpus

Shixiang Gu, Ethan Holly low, Timothy Lillicrap, Sergey Levine

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.

Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates (2017)Deep reinforcement learning f…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Q-learning (1992)Q-learningSimple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Continuous control with deep reinforcement learning (2016)Continuous control with deep …Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)Policy Gradient Methods for R…Reinforcement learning in robotics: A survey (2013)Reinforcement learning in rob…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…Neural networks for control systems—A survey (1992)Neural networks for control s…End-to-end training of deep visuomotor policies (2016)End-to-end training of deep v…End-to-End Training of Deep Visuomotor Policies (2015)End-to-End Training of Deep V…Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast… (2018)Soft Actor-Critic: Off-Policy…Soft Actor-Critic Algorithms and Applications (2018)Soft Actor-Critic Algorithms …
14 of 14 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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What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Q-learning19929,099
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Continuous control with deep reinforcement learning20166,783
Policy Gradient Methods for Reinforcement Learning with Function Approximation19994,966
Reinforcement learning in robotics: A survey20133,154
Trust Region Policy Optimization20153,129
Neural networks for control systems—A survey19921,871
End-to-end training of deep visuomotor policies20161,706
End-to-End Training of Deep Visuomotor Policies20151,400

What cites it, inside the corpus

PaperYearCited
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…20183,500
Soft Actor-Critic Algorithms and Applications20181,994

Links

DOI · OpenAlex record

Topics

Reinforcement Learning in RoboticsComputer Science
Robot Manipulation and LearningEngineering
Advanced Memory and Neural ComputingEngineering

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports54 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

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

sha256 88a60cdbb94c6a13…