Who Cited It

Mastering Atari, Go, chess and shogi by planning with a learned model

n.d. · RePEc: Research Papers in Economics · 1,374 citations · 0 from inside this corpus

Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, 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.

Mastering Atari, Go, chess and shogi by planning with a learned modelMastering Atari, Go, chess an…Reinforcement Learning: An Introduction (2005)Reinforcement Learning: An In…Mastering the game of Go with deep neural networks and tree search (2016)Mastering the game of Go with…Mastering the game of Go without human knowledge (2017)Mastering the game of Go with…Reinforcement Learning: An Introduction (2000)Reinforcement Learning: An In…Markov Decision Processes: Discrete Stochastic Dynamic Programming. (1995)Markov Decision Processes: Di…Markov Decision Processes (1994)Markov Decision ProcessesA general reinforcement learning algorithm that masters chess, shogi, and Go through self… (2018)A general reinforcement learn…Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019)Grandmaster level in StarCraf…Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning (1999)Between MDPs and semi-MDPs: A…Markov Decision Processes: Discrete Stochastic Dynamic Programming (1995)Markov Decision Processes: Di…Rainbow: Combining Improvements in Deep Reinforcement Learning (2018)Rainbow: Combining Improvemen…
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What this paper cites, inside the corpus

PaperYearCited
Reinforcement Learning: An Introduction200525,758
Mastering the game of Go with deep neural networks and tree search201616,014
Mastering the game of Go without human knowledge20179,313
Reinforcement Learning: An Introduction20008,702
Markov Decision Processes: Discrete Stochastic Dynamic Programming.19958,450
Markov Decision Processes19946,019
A general reinforcement learning algorithm that masters chess, shogi, and Go through self…20183,611
Grandmaster level in StarCraft II using multi-agent reinforcement learning20193,508
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning19993,201
Markov Decision Processes: Discrete Stochastic Dynamic Programming19951,898
Rainbow: Combining Improvements in Deep Reinforcement Learning20181,783

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Topics

Artificial Intelligence in GamesComputer Science
Educational Games and GamificationPsychology
Reinforcement Learning in RoboticsComputer Science

Is this record sound?

complete

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

  • supports12 author record(s) attached.
  • supports76 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 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…