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The Learning of Zelda: Data-Driven Level Generation for Action Role Playing Games.

, , , and . FDG, Society for the Advancement of the Science of Digital Games, (2015)

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Modeling social interestingness in conversational stories., and . ACSW, page 66:1-66:6. ACM, (2017)Improving Open Language Models by Learning from Organic Interactions., , , , , , , , , and 3 other author(s). CoRR, (2023)Investigating the Use of Word Embeddings to Estimate Cognitive Interest in Stories., , and . CogSci, page 1388-1394. cognitivesciencesociety.org, (2019)Crowdsourcing the construction of a 3D object recognition database for robotic grasping., , and . ICRA, page 4526-4531. IEEE, (2014)Remember That Time? Telling Interesting Stories from Past Interactions., , and . ICIDS, volume 9445 of Lecture Notes in Computer Science, page 93-104. Springer, (2015)What Does That ?-Block Do? Learning Latent Causal Affordances From Mario Play Traces., , , and . AAAI Workshops, volume WS-17 of AAAI Technical Report, AAAI Press, (2017)Story Quality as a Matter of Perception: Using Word Embeddings to Estimate Cognitive Interest., , and . AIIDE, page 3-9. AAAI Press, (2019)Construction of a 3D object recognition and manipulation database from grasp demonstrations., , and . Auton. Robots, 40 (1): 175-192 (2016)The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges., , , , , , , , , and 1 other author(s). CoRR, (2023)Cognitive and Experiential Interestingness in Abstract Visual Narrative., , , and . CogSci, cognitivesciencesociety.org, (2018)