{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/120121"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/120121","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Introducing builder perspective in minecraft architect utterance generation","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms","abstract_has_math":false,"creators":["Athani, Amit A"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Hockenmaier, Julia"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05","date_published":"2023-05","updated_at":"2026-07-22T22:24:56Z","subjects":["Nlp","Natural Language Processing","Cnn","Roi"],"languages":["en","eng"],"rights":["Copyright 2023 Amit Athani"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/120121","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hockenmaier, Julia"]},{"key":"dc:creator","label":"Author","values":["Athani, Amit A"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05","2023-04-27"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Nlp","Natural Language Processing","Cnn","Roi"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Amit Athani"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/120121"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["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","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Introducing builder perspective in minecraft architect utterance generation"]}]}],"canonical_facts":{"dc:contributor":["Hockenmaier, Julia"],"dc:creator":["Athani, Amit A"],"dc:date":["2023-05","2023-04-27"],"dc:description":["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","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/120121"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Amit Athani"],"dc:subject":["Nlp","Natural Language Processing","Cnn","Roi"],"dc:title":["Introducing builder perspective in minecraft architect utterance generation"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:56Z"}