Phi-Nav generates path-level hindsight instructions from on-policy exploration trajectories to supply additional semantic supervision for vision-language navigation agents.
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
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An asynchronous fast-slow dual-system with DiT action modeling and time-weighted loss doubles unseen aerial VLN success rates and halves decision latency in simulation.
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Path-level Hindsight Instructions for Semantic Exploration in Vision-Language Navigation
Phi-Nav generates path-level hindsight instructions from on-policy exploration trajectories to supply additional semantic supervision for vision-language navigation agents.
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FSD-VLN: Fast-Slow Dual-System Modeling for Aerial Long-Horizon Vision-Language Navigation
An asynchronous fast-slow dual-system with DiT action modeling and time-weighted loss doubles unseen aerial VLN success rates and halves decision latency in simulation.