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Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

Research article (arXiv (Cornell University), 2016) · cited 10× · AI/ML
academia openalex:W2441569124
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Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

Summary

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games is a scholarly article[1].

Key Facts

  • Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-reward-design-to-improve-monte-carlo-tree-search-in-atari-games
MLA “Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-reward-design-to-improve-monte-carlo-tree-search-in-atari-games.
BibTeX @misc{4ortxyz_deep-learning-for-reward-design-to-improve-monte-carlo-tree-search-in-atari-games_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-reward-design-to-improve-monte-carlo-tree-search-in-atari-games}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games — https://4ort.xyz/entity/deep-learning-for-reward-design-to-improve-monte-carlo-tree-search-in-atari-games (retrieved 2026-05-24)

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