Eliot Xing
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about

I did my undergrad in mathematics and computer engineering at Georgia Tech, where I worked with Charlie Kemp and Sonia Chernova. In that period, I participated (remotely) in RISS 2020 and worked with Abhinav Gupta at Carnegie Mellon University. I was also fortunate to have been mentored by Zackory Erickson, Sam Powers, and Victoria Dean.

publications

* equal contribution or advising

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers*, Eliot Xing*, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta
Conference on Lifelong Learning Agents (CoLLAs), 2022. Oral
pdf / code / video / pmlr /
Self-Activating Neural Ensembles for Continual Reinforcement Learning
Sam Powers, Eliot Xing, Abhinav Gupta
Conference on Lifelong Learning Agents (CoLLAs), 2022.
pdf / code / pmlr /
KitchenShift: Evaluating Zero-Shot Generalization of Imitation-Based Policy Learning Under Domain Shifts
Eliot Xing, Abhinav Gupta, Sam Powers*, Victoria Dean*
NeurIPS Workshop on Distribution Shifts, 2021.
pdf / code / slideslive /
Characterizing Multidimensional Capacitive Servoing for Physical Human-Robot Interaction
Zackory Erickson, Henry M. Clever, Vamsee Gangaram, Eliot Xing, Greg Turk, C. Karen Liu, Charles C. Kemp
IEEE Transactions on Robotics (T-RO), 2022.
pdf / ieee /
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
Zackory Erickson, Eliot Xing, Bharat Srirangam, Sonia Chernova, Charles C. Kemp
International Conference on Intelligent Robots and Systems (IROS), 2020.
pdf / code / video / ieee /