2.3k citations · 2.3k across the 18 of their papers we have counts for
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Imitation Bootstrapped Reinforcement Learning
Hengyuan Hu, Suvir Mirchandani, Dorsa Sadigh
Despite the considerable potential of reinforcement learning (RL), robotic control tasks predominantly rely on imitation learning (IL) due to its better sample efficiency. However,…
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics
Pierre Sermanet, Tianli Ding, Jeffrey Zhao +18
We present a scalable, bottom-up and intrinsically diverse data collection scheme that can be used for high-level reasoning with long and medium horizons and that has 2.2x higher t…
Large Language Models as General Pattern Machines
Suvir Mirchandani, Fei Xia, Pete Florence +6
We observe that pre-trained large language models (LLMs) are capable of autoregressively completing complex token sequences -- from arbitrary ones procedurally generated by probabi…