mlsanityData to 14 Oct 2026

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

arXiv 1907.08584 ↗First posted 19 Jul 2019cs.AIcited by 28

Not on the map. Why?

Abstract (arXiv)

This paper describes an implementation of a bot assistant in Minecraft, and the tools and platform allowing players to interact with the bot and to record those interactions. The purpose of building such an assistant is to facilitate the study of agents that can complete tasks specified by dialogue, and eventually, to learn from dialogue interactions.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Jul 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 9; 2022: 4; 2023: 5; 2024: 4; 2025: 3; 2026: 3.

28 papers.

Sort:

By area:

  1. 2022MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledgecited by 478
  2. 2023Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedbackcited by 32
  3. 2021The MineRL BASALT Competition on Learning from Human Feedbackcited by 24
  4. 2023Creative Agents: Empowering Agents with Imagination for Creative Taskscited by 24
  5. 2022Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021cited by 23
  6. 2024S-Agents: Self-organizing Agents in Open-ended Environmentscited by 22
  7. 2021A Systematic Survey of Text Worlds as Embodied Natural Language Environmentscited by 17
  8. 2021NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environmentcited by 15
  9. 2023Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competitioncited by 15
  10. 2023Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructionscited by 13
  11. 2025AssistanceZero: Scalably Solving Assistance Gamescited by 10
  12. 2023BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Taskscited by 8
16 more
  1. 2022The slurk Interaction Server Framework: Better Data for Better Dialog Modelscited by 7
  2. 2024Large Language Models as Minecraft Agentscited by 7
  3. 2022Retrospective on the 2021 BASALT Competition on Learning from Human Feedbackcited by 5
  4. 2024A LLM Benchmark based on the Minecraft Builder Dialog Agent Taskcited by 4
  5. 2021droidlet: modular, heterogenous, multi-modal agentscited by 2
  6. 2025CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended Worldcited by 2
  7. 2021Modular Procedural Generation for Voxel Mapscited by 1
  8. 2024IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agentscited by 1
  9. 2025Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Reviewcited by 1
  10. 2026Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraftcited by 1
  11. 2021Mind Reading at Work: Cooperation without common groundcited by 0
  12. 2021Using reinforcement learning to design an AI assistantfor a satisfying co-op experiencecited by 0
  13. 2021Neural Abstructions: Abstractions that Support Construction for Grounded Language Learningcited by 0
  14. 2021Feudal Reinforcement Learning by Reading Manualscited by 0
  15. 2026Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learningcited by 0
  16. 2026MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraftcited by 0