Who Cited It

Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)

2017 · arXiv (Cornell University) · 11,354 citations · 8 from inside this corpus

No author records on this work.

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.

Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short … (2017)Diagnosing Non-Intermittent A…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…High-Dimensional Continuous Control Using Generalized Advantage Estimation (2015)High-Dimensional Continuous C…Asynchronous Methods for Deep Reinforcement Learning (2016)Asynchronous Methods for Deep…Deep Reinforcement Learning: A Brief Survey (2017)Deep Reinforcement Learning: …Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast… (2018)Soft Actor-Critic: Off-Policy…Addressing Function Approximation Error in Actor-Critic Methods (2018)Addressing Function Approxima…Soft Actor-Critic Algorithms and Applications (2018)Soft Actor-Critic Algorithms …[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…AutoML: A survey of the state-of-the-art (2020)AutoML: A survey of the state…Deep Reinforcement Learning That Matters (2018)Deep Reinforcement Learning T…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …
12 of 12 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

What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Trust Region Policy Optimization20153,129
High-Dimensional Continuous Control Using Generalized Advantage Estimation20151,746
Asynchronous Methods for Deep Reinforcement Learning20161,689

What cites it, inside the corpus

PaperYearCited
Deep Reinforcement Learning: A Brief Survey20174,434
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochast…20183,500
Addressing Function Approximation Error in Actor-Critic Methods20182,372
Soft Actor-Critic Algorithms and Applications20181,994
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]1,853
AutoML: A survey of the state-of-the-art20201,705
Deep Reinforcement Learning That Matters20181,580
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444

Links

DOI · Open access copy · OpenAlex record

Topics

Reinforcement Learning in RoboticsComputer Science
Optimization and Search ProblemsComputer Science
Advanced Bandit Algorithms ResearchDecision Sciences

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suspect

Several fields of this record are missing or contradict each other. Treat its figures with suspicion — it is shown unaltered because correcting a source's record silently is worse than showing you the problem.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports11 reference(s) recorded.
  • weakensThe DOI names 2024 but the record dates this to 2,017. One of the two is about a different paper.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…