Yulun Zhang

Yulun Zhang
Carnegie Mellon University | CMU · Robotics Institute

Doctor of Philosophy

About

10
Publications
175
Reads
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19
Citations
Citations since 2017
10 Research Items
19 Citations
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2017201820192020202120222023051015
2017201820192020202120222023051015
Additional affiliations
August 2017 - May 2022
University of Southern California
Position
  • Student
Education
August 2022 - May 2028
Carnegie Mellon University
Field of study
  • Robotics
August 2020 - May 2022
University of Southern California
Field of study
  • Computer Science
August 2017 - May 2021
University of Southern California
Field of study
  • Computer Science

Publications

Publications (10)
Preprint
Full-text available
We study the problem of efficiently generating high-quality and diverse content in games. Previous work on automated deckbuilding in Hearthstone shows that the quality diversity algorithm MAP-Elites can generate a collection of high-performing decks with diverse strategic gameplay. However, MAP-Elites requires a large number of expensive evaluation...
Preprint
Full-text available
In order to be effective general purpose machines in real world environments, robots not only will need to adapt their existing manipulation skills to new circumstances, they will need to acquire entirely new skills on-the-fly. A great promise of continual learning is to endow robots with this ability, by using their accumulated knowledge and exper...
Preprint
Telepresence robots offer presence, embodiment, and mobility to remote users, making them promising options for homebound K-12 students. It is difficult, however, for robot operators to know how well they are being heard in remote and noisy classroom environments. One solution is to estimate the operator's speech intelligibility to their listeners...
Preprint
We explore possible methods for multi-task transfer learning which seek to exploit the shared physical structure of robotics tasks. Specifically, we train policies for a base set of pre-training tasks, then experiment with adapting to new off-distribution tasks, using simple architectural approaches for re-using these policies as black-box priors....
Preprint
Full-text available
When studying robots collaborating with humans, much of the focus has been on robot policies that coordinate fluently with human teammates in collaborative tasks. However, less emphasis has been placed on the effect of the environment on coordination behaviors. To thoroughly explore environments that result in diverse behaviors, we propose a framew...

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