Papers › FILM: Following Instructions in Language with Modular Methods

FILM: Following Instructions in Language with Modular Methods

12 Oct 2021ICLR 2022 4arXiv:2110.07342archive 2025-07-28

So Yeon Min, Devendra Singh Chaplot, Pradeep Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov

Recent methods for embodied instruction following are typically trained end-to-end using imitation learning. This often requires the use of expert trajectories and low-level language instructions. Such approaches assume that neural states will integrate multimodal semantics to perform state tracking, building spatial memory, exploration, and long-term planning. In contrast, we propose a modular method with structured representations that (1) builds a semantic map of the scene and (2) performs exploration with a semantic search policy, to achieve the natural language goal. Our modular method achieves SOTA performance (24.46 %) with a substantial (8.17 % absolute) gap from previous work while using less data by eschewing both expert trajectories and low-level instructions. Leveraging low-level language, however, can further increase our performance (26.49 %). Our findings suggest that an explicit spatial memory and a semantic search policy can provide a stronger and more general representation for state-tracking and guidance, even in the absence of expert trajectories or low-level instructions.

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ChannelPool soyeonm/film/models/sem_mapping.py official repository ran · metamorphic tier: deterministic fingerprinted no licence file found · pointer only · 5a6b8e773bf0e5ca · report
get_grid soyeonm/film/models/sem_mapping.py official repository ran · our draft was wrong no licence file found · pointer only · d6e56d90f538baa2 · report
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splat_feat_nd soyeonm/film/models/sem_mapping.py official repository ran · our draft was wrong fingerprinted no licence file found · pointer only · b618bad5307ca427 · report
transform_camera_view_t_multiple soyeonm/film/models/sem_mapping.py official repository ran · fixture could not drive it no licence file found · pointer only · aec8ec36ce14294a · report
transform_pose_t soyeonm/film/models/sem_mapping.py official repository ran · fixture could not drive it no licence file found · pointer only · f9669b487dd486f1 · report
Semantic_Mapping soyeonm/film/models/sem_mapping.py official repository unverified no licence file found · pointer only · b2bef5281f843fa0 · report
get_camera_matrix identical code first harvested elsewhere ran · our draft was wrong licence of this copy not recorded · 3c2bc4d1adf58293 · report

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Imitation LearningInstruction Following

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