2026-09-21T15:12:15Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/120121 2023-09-04 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Hockenmaier, Julia 2023-05 application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms The student, Amit Athani, accepted the attached license on 2023-04-26 at 21:50. The student, Amit Athani, submitted this Thesis for approval on 2023-04-26 at 21:56. This Thesis was approved for publication on 2023-04-27 at 14:18. DSpace SAF Submission Ingestion Package generated from Vireo submission #19205 on 2023-09-01 at 16:55:40 Introducing builder perspective in minecraft architect utterance generation Athani, Amit A 2023-04-27 Nlp Natural Language Processing Cnn Roi The task of Collaborative Dialogue in Minecraft involves developing interactive agents that can communicate with humans to collaboratively solve tasks in grounded scenarios. Previous attempts to solve this task have treated the tasks of Architect Utterance and Builder Action Prediction as separate problems, and independent models have been developed to solve each. However, a human architect would typically think about how to build the target structure before giving verbal instructions to the Builder. Therefore, in this work, we focus on the Architect Utterance generation task and explore how the Builder Action Prediction model can be used to improve utterance generation. We achieve this by using a customized builder that can view the Minecraft world through the Architect’s perspective and generate action sequences. These action sequences represent a simulation of what the Architect would do if they were acting as the Builder, allowing the Architect to think in terms of Builder actions. We leverage this Builder-For-Architect model to introduce action sequences and their effects on the world state into the Architect’s decision-making process. Thesis eng https://hdl.handle.net/2142/120121 Copyright 2023 Amit Athani M.S. Thesis Computer Science University of Illinois at Urbana-Champaign Computer Science