mlsanityData to 7 Oct 2026

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents

arXiv 2206.00142 ↗First posted 31 May 2022cs.LG cs.AI cs.CLcited by 9

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Abstract (arXiv)

We present the IGLU Gridworld: a reinforcement learning environment for building and evaluating language conditioned embodied agents in a scalable way. The environment features visual agent embodiment, interactive learning through collaboration, language conditioned RL, and combinatorically hard task (3d blocks building) space.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 13 of its 21 references that are in the map. First posted on arXiv 31 May 2022.

Builds on

13 of 21 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2017AI2-THOR: An Interactive 3D Environment for Visual AIcited by 850
  3. 2021Habitat 2.0: Training Home Assistants to Rearrange their Habitatcited by 501
  4. 2018TextWorld: A Learning Environment for Text-based Gamescited by 304
  5. 2019MineRL: A Large-Scale Dataset of Minecraft Demonstrationscited by 210
  6. 2020The NetHack Learning Environmentcited by 196
  7. 2021Open-Ended Learning Leads to Generally Capable Agentscited by 177
  8. 2021MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Researchcited by 96
  9. 2020Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learningcited by 84
  10. 2022Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021cited by 23
  11. 2021Megaverse: Simulating Embodied Agents at One Million Experiences per Secondcited by 19
  12. 2021NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environmentcited by 15
1 more
  1. 2020Using Unity to Help Solve Intelligencecited by 13

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Cited by year

Citing papers per year: 2022: 2; 2023: 5; 2024: 1; 2025: 1.

9 papers.

  1. 2023HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real Worldcited by 159
  2. 2023XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAXcited by 54
  3. 2023Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedbackcited by 31
  4. 2023Creative Agents: Empowering Agents with Imagination for Creative Taskscited by 24
  5. 2023Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructionscited by 13
  6. 2022TextWorldExpress: Simulating Text Games at One Million Steps Per Secondcited by 12
  7. 2025AssistanceZero: Scalably Solving Assistance Gamescited by 10
  8. 2022Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructionscited by 9
  9. 2024IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agentscited by 1