https://github.com/CAVED123/regretful-agent
The Regretful Navigation Agent for Vision-and-Language Navigation
Papers with Code 아카이브
Vision-Language Navigation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Vision-language navigation (VLN) is the task of navigating an embodied agent to carry out natural language instructions inside real 3D environments.
<span style="color:grey; opacity: 0.6">( Image credit: Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LatentActionPretraining/LAPA
https://github.com/Qi-Zhangyang/GPT4Scene
VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
https://github.com/Robot-VLAs/RoboVLMs
Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models
https://github.com/YanjieZe/Improved-3D-Diffusion-Policy
PointVLA: Injecting the 3D World into Vision-Language-Action Models
https://github.com/ayusefi/Localization-Papers
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
https://github.com/cacosandon/are-you-looking
The Regretful Navigation Agent for Vision-and-Language Navigation
https://github.com/juruobenruo/DexVLA
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
https://github.com/kyegomez/RT-2
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
https://github.com/liyaxuanliyaxuan/TinyVLA
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
https://github.com/moojink/openvla-oft
Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
https://github.com/openvla/openvla
https://github.com/pie33000/OpenVLA
https://github.com/ritzz-ai/gui-r1
GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
https://github.com/stanford-iliad/openvla-mini
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.