mlsanityData to 7 Oct 2026

Why Build an Assistant in Minecraft?

arXiv 1907.09273 ↗First posted 22 Jul 2019cs.AI cs.CLcited by 14

Not on the map. Why?

Abstract (arXiv)

In this document we describe a rationale for a research program aimed at building an open "assistant" in the game Minecraft, in order to make progress on the problems of natural language understanding and learning from dialogue.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jul 2019.

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Citing papers per year: 2020: 1; 2021: 3; 2022: 3; 2023: 2; 2024: 3; 2025: 2.

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  1. 2020Learning Rewards from Linguistic Feedbackcited by 41
  2. 2022Learning to Execute Actions or Ask Clarification Questionscited by 30
  3. 2022Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021cited by 23
  4. 2021NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environmentcited by 15
  5. 2023Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructionscited by 13
  6. 2022LEBP -- Language Expectation & Binding Policy: A Two-Stream Framework for Embodied Vision-and-Language Interaction Task Learning Agentscited by 11
  7. 2025AssistanceZero: Scalably Solving Assistance Gamescited by 10
  8. 2024Large Language Models as Minecraft Agentscited by 7
  9. 2024A LLM Benchmark based on the Minecraft Builder Dialog Agent Taskcited by 4
  10. 2025MDC-R: The Minecraft Dialogue Corpus with Referencecited by 2
  11. 2021Modular Procedural Generation for Voxel Mapscited by 1
  12. 2023A Data Source for Reasoning Embodied Agentscited by 1
2 more
  1. 2024IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agentscited by 1
  2. 2021Towards Controllable Agent in MOBA Games with Generative Modelingcited by 0