CB2: Collaborative Natural Language Interaction Research Platform
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Abstract (arXiv)
CB2 is a multi-agent platform to study collaborative natural language interaction in a grounded task-oriented scenario. It includes a 3D game environment, a backend server designed to serve trained models to human agents, and various tools and processes to enable scalable studies. We deploy CB2 at https://cb2.ai as a system demonstration with a learned instruction following model.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 19 of its 32 references that are in the map. First posted on arXiv 14 Mar 2023.
Builds on
19 of 32 references.
References · 19
- 2021Decision Transformer: Reinforcement Learning via Sequence Modelingcited by 1,546
- 2017Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentscited by 1,027
- 2019ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Taskscited by 783
- 2020Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Groundingcited by 414
- 2016Multi-Agent Cooperation and the Emergence of (Natural) Languagecited by 185
- 2020Emergent Multi-Agent Communication in the Deep Learning Eracited by 170
- 2017Mapping Instructions and Visual Observations to Actions with Reinforcement Learningcited by 81
- 2019Executing Instructions in Situated Collaborative Interactionscited by 69
- 2021Less is More: Generating Grounded Navigation Instructions from Landmarkscited by 64
- 2017Unified Pragmatic Models for Generating and Following Instructionscited by 55
- 2019Countering Language Drift via Visual Groundingcited by 55
- 2015What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignmentcited by 31
7 more
- 2018HexaConvcited by 27
- 2018Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learningcited by 27
- 2022Continual Learning for Instruction Following from Realtime Feedbackcited by 22
- 2021Continual Learning for Grounded Instruction Generation by Observing Human Following Behaviorcited by 19
- 2017Translating Neuralesecited by 16
- 2022IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022cited by 14
- 2021Analysis of Language Change in Collaborative Instruction Followingcited by 9
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Citing papers per year: 2023: 1.
1 paper.