Who Cited It

High-Dimensional Continuous Control Using Generalized Advantage Estimation

2015 · arXiv (Cornell University) · 1,746 citations · 6 from inside this corpus

John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, Pieter Abbeel

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.

High-Dimensional Continuous Control Using Generalized Advantage Estimation (2015)High-Dimensional Continuous C…Numerical optimization (2021)Numerical optimizationSimple statistical gradient-following algorithms for connectionist reinforcement learning (1992)Simple statistical gradient-f…Introduction to Reinforcement Learning (1998)Introduction to Reinforcement…Continuous control with deep reinforcement learning (2015)Continuous control with deep …Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)Policy Gradient Methods for R…Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short … (2017)Diagnosing Non-Intermittent A…Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …Counterfactual Multi-Agent Policy Gradients (2018)Counterfactual Multi-Agent Po…Asynchronous Methods for Deep Reinforcement Learning (2016)Asynchronous Methods for Deep…Deep Reinforcement Learning That Matters (2018)Deep Reinforcement Learning T…Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…
11 of 11 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
Numerical optimization202114,172
Simple statistical gradient-following algorithms for connectionist reinforcement learning19927,519
Introduction to Reinforcement Learning19986,917
Continuous control with deep reinforcement learning20155,370
Policy Gradient Methods for Reinforcement Learning with Function Approximation19994,966

What cites it, inside the corpus

PaperYearCited
Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short …201711,354
Deep Reinforcement Learning: A Brief Survey20174,434
Counterfactual Multi-Agent Policy Gradients20181,727
Asynchronous Methods for Deep Reinforcement Learning20161,689
Deep Reinforcement Learning That Matters20181,580
Agnostic Learning with Unknown Utilities20161,416

Links

DOI · Open access copy · OpenAlex record

Topics

Reinforcement Learning in RoboticsComputer Science
Robotic Locomotion and ControlEngineering
Real-time simulation and control systemsEngineering

Is this record sound?

complete

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

  • supports5 author record(s) attached.
  • supports23 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 2026-09-04T03:58:53+00:00.

sha256 db1645b78a57e29a…