Who Cited It

Deep Reinforcement Learning That Matters

2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 1,580 citations · 3 from inside this corpus

Peter Henderson, Riashat Islam low, Philip Bachman low, Joëlle Pineau, Doina Precup, David Meger

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 That Matters (2018)Deep Reinforcement Learning T…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Understanding the difficulty of training deep feedforward neural networks (2010)Understanding the difficulty …Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short … (2017)Diagnosing Non-Intermittent A…A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection (1995)A Study of Cross-Validation a…Continuous control with deep reinforcement learning (2016)Continuous control with deep …Continuous control with deep reinforcement learning (2015)Continuous control with deep …Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…Policy Gradient Methods for Reinforcement Learning with Function Approximation (1999)Policy Gradient Methods for R…An Introduction to the Bootstrap. (1994)An Introduction to the Bootst…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…An Introduction to the Bootstrap (1995)An Introduction to the Bootst…High-Dimensional Continuous Control Using Generalized Advantage Estimation (2015)High-Dimensional Continuous C…Asynchronous Methods for Deep Reinforcement Learning (2016)Asynchronous Methods for Deep…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 …
16 of 16 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

What cites it, inside the corpus

Topics

Reinforcement Learning in RoboticsComputer Science
Evolutionary Algorithms and ApplicationsComputer Science
Viral Infectious Diseases and Gene Expression in InsectsBiochemistry, Genetics and Molecular Biology

Is this record sound?

complete

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

  • supports6 author record(s) attached.
  • supports60 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 2026-09-04T03:58:57+00:00.

sha256 b3024609427ad450…