4 citations · 11 across the 19 of their papers we have counts for
3 papers · 1 filter
The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu +2
Humans rely on the synergy of their senses for most essential tasks. For tasks requiring object manipulation, we seamlessly and effectively exploit the complementarity of our sense…
Language Reward Modulation for Pretraining Reinforcement Learning
Ademi Adeniji, Amber Xie, Carmelo Sferrazza +3
Using learned reward functions (LRFs) as a means to solve sparse-reward reinforcement learning (RL) tasks has yielded some steady progress in task-complexity through the years. In…
Chain of Hindsight Aligns Language Models with Feedback
Hao Liu, Carmelo Sferrazza, Pieter Abbeel
Learning from human preferences is important for language models to match human needs and to align with human and social values. Prior works have achieved remarkable successes by l…