NeurIPS 2023
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6th Robot Learning Workshop: Pretraining, Fine-Tuning, and Generalization with Large Scale Models

Dhruv Shah · Paula Wulkop · Claas Voelcker · Georgia Chalvatzaki · Alex Bewley · Hamidreza Kasaei · Ransalu Senanayake · Julien PEREZ · Jonathan Tompson

Hall B2 (level 1)
[ Abstract ] Workshop Website
Sat 16 Dec, 6:15 a.m. PST

The proposed workshop focuses on the intersection of machine learning (ML) and robotics, under this year’s focus topic: “Pretraining, Fine-Tuning, and Generalization with Large Scale Models.” Embodied AI and robotics pose unique challenges and opportunities for utilizing large pre-trained models. We seek to host a diverse set of views and approaches from across the robotics domain and dive deep into questions such as: What sources of data can be used for training large models in robotics? What role should pre-training play in robotics pipelines? How far can pre-trained models generalize when faced with novel tasks and environments? What is currently missing to the pre-training paradigm for embodied systems?

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Timezone: America/Los_Angeles