Search Results for author: Rachel Gardner

Found 2 papers, 1 papers with code

Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning

1 code implementation EMNLP (WNUT) 2020 Rachel Gardner, Maya Varma, Clare Zhu, Ranjay Krishna

Datasets extracted from social networks and online forums are often prone to the pitfalls of natural language, namely the presence of unstructured and noisy data.

Multi-Task Learning valid

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks

no code implementations20 Jun 2019 Roberto Martín-Martín, Michelle A. Lee, Rachel Gardner, Silvio Savarese, Jeannette Bohg, Animesh Garg

This paper studies the effect of different action spaces in deep RL and advocates for Variable Impedance Control in End-effector Space (VICES) as an advantageous action space for constrained and contact-rich tasks.

Reinforcement Learning (RL)

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