Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
On the map: Offline RL and imitation learning from data → Language-conditioned policies and VLAs
Abstract (arXiv)
We present Vision-based Navigation with Language-based Assistance (VNLA), a grounded vision-language task where an agent with visual perception is guided via language to find objects in photorealistic indoor environments. The task emulates a real-world scenario in that (a) the requester may not know how to navigate to the target objects and thus makes requests by only specifying high-level end-goals, and (b) the agent is capable of sensing when it is lost and querying an advisor, who is more qualified at the task, to obtain language subgoals to make progress. To model language-based assistance, we develop a general framework termed Imitation Learning with Indirect Intervention (I3L), and propose a solution that is effective on the VNLA task. Empirical results show that this approach significantly improves the success rate of the learning agent over other baselines in both seen and unseen environments. Our code and data are publicly available at https://github.com/debadeepta/vnla .
Key facts. Cited by 77 papers in the map (data through 7 Oct 2026). Placed in Language-conditioned policies and VLAs, one of 13 directions in Offline RL and imitation learning from data. Builds on 41 of its 67 references that are in the map. First posted on arXiv 10 Dec 2018.
Builds on
41 of 67 references.
Closest ancestors · 2
Same direction, newest first
- 2018Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation25 Nov
- 2018Guiding Policies with Language via Meta-Learning19 Nov
Other references · 39
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- 2017Grounded Language Learning in a Simulated 3D Worldcited by 100
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- 2018Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigationcited by 84
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- 2018Safe Navigation with Human Instructions in Complex Scenescited by 9
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Citing papers per year: 2019: 1; 2020: 1; 2021: 16; 2022: 14; 2023: 18; 2024: 11; 2025: 11; 2026: 5.
77 papers.
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50 newest of 77 All 77 (JSON)
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- 2023CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation17 Jun 2023
- 2019Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learningcited by 100
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- 2022Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directionscited by 116
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- 2022HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigationcited by 69
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- 2026Ask When It Pays: Cost-Aware Open-Ended Interaction for Instance Goal Navigation2 Jun 2026
- 2026textscNaVIDA: Vision-Language Navigation with Inverse Dynamics Augmentation26 Jan 2026
- 2025VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation22 Dec 2025
- 2025VISTAv2: World Imagination for Indoor Vision-and-Language Navigation14 Nov 2025
- 2025NavQ: Learning a Q-Model for Foresighted Vision-and-Language Navigation18 Oct 2025
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- 2025CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking15 Jul 2025
- 2025A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI1 May 2025
- 2025UAV-VLN: End-to-End Vision Language guided Navigation for UAVs30 Apr 2025
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