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Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games

Research article (Maryland Shared Open Access Repository (USMAI Consortium), 2018) · cited 16× · AI/ML
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Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games

Summary

Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games is a scholarly article[1].

Key Facts

  • Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games's instance of is recorded as scholarly article[2].

Related Entities

Mark Riedl

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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). Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games. Retrieved May 24, 2026, from https://4ort.xyz/entity/dungeons-and-dqns-toward-reinforcement-learning-agents-that-play-tabletop-roleplaying-games
MLA “Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dungeons-and-dqns-toward-reinforcement-learning-agents-that-play-tabletop-roleplaying-games.
BibTeX @misc{4ortxyz_dungeons-and-dqns-toward-reinforcement-learning-agents-that-play-tabletop-roleplaying-games_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games}}, year = {2026}, url = {https://4ort.xyz/entity/dungeons-and-dqns-toward-reinforcement-learning-agents-that-play-tabletop-roleplaying-games}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games — https://4ort.xyz/entity/dungeons-and-dqns-toward-reinforcement-learning-agents-that-play-tabletop-roleplaying-games (retrieved 2026-05-24)

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