Who Cited It

Rainbow: Combining Improvements in Deep Reinforcement Learning

2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 1,783 citations · 1 from inside this corpus

Matteo Hessel, Joseph Modayil low, Hado van Hasselt, Tom Schaul, Georg Ostrovski, Will Dabney, Dan Horgan, Bilal Piot, Mohammad Gheshlaghi Azar, David Silver

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.

Rainbow: Combining Improvements in Deep Reinforcement Learning (2018)Rainbow: Combining Improvemen…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Reinforcement Learning: An Introduction (1998)Reinforcement Learning: An In…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Playing Atari with Deep Reinforcement Learning (2013)Playing Atari with Deep Reinf…Deep Reinforcement Learning with Double Q-Learning (2016)Deep Reinforcement Learning w…Trust Region Policy Optimization (2015)Trust Region Policy Optimizat…Learning to predict by the methods of temporal differences (1988)Learning to predict by the me…Dueling Network Architectures for Deep Reinforcement Learning (2015)Dueling Network Architectures…Asynchronous Methods for Deep Reinforcement Learning (2016)Asynchronous Methods for Deep…Self-improving reactive agents based on reinforcement learning, planning and teaching (1992)Self-improving reactive agent…Mastering Atari, Go, chess and shogi by planning with a learned modelMastering Atari, Go, chess an…
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.
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What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Reinforcement Learning: An Introduction199827,409
Reinforcement Learning: An Introduction200525,758
Deep Reinforcement Learning with Double Q-Learning20166,271
Playing Atari with Deep Reinforcement Learning20135,104
Deep Reinforcement Learning with Double Q-Learning20163,516
Trust Region Policy Optimization20153,129
Learning to predict by the methods of temporal differences19882,818
Dueling Network Architectures for Deep Reinforcement Learning20151,811
Asynchronous Methods for Deep Reinforcement Learning20161,689
Self-improving reactive agents based on reinforcement learning, planning and teaching19921,656

What cites it, inside the corpus

PaperYearCited
Mastering Atari, Go, chess and shogi by planning with a learned model1,374

Links

DOI · Open access copy · OpenAlex record

Topics

Reinforcement Learning in RoboticsComputer Science
Evolutionary Algorithms and ApplicationsComputer Science
Modular Robots and Swarm IntelligenceEngineering

Is this record sound?

complete

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

  • supports10 author record(s) attached.
  • supports58 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…