Xueguang Lyu
Xueguang Lyu
Xueguang Lyu
Xueguang Lyu
Education
- MS, Northeastern University
- BS, University of California, Irvine
About Me
- Hometown: TianJin, China
- Field of Study: Artificial Intelligence
- PhD Advisor: Christopher Amato
Biography
Bio coming soon.
What are the specifics of your graduate education (thus far)?
I started my MS in CS studies here at Northeastern University, during which time I started working with Professor Chris Amato on sequential decision-making problems and finally shifted my interests towards cooperative multi-agent systems.
What are your research interests?
My interest in reinforcement learning techniques was immediately formed when I was first introduced to Artificial Intelligence, as it represents a journey of demystifying optimal design-making and planning in the physical world. Upon further exploration in the field, multi-agent cooperation and emergent behaviors hooked my interest: not only because they hold great difficulty and application promises, but also because solving those problems provides insights into human organizations, languages, and social structures around us.
What’s one problem you’d like to solve with your research/work?
I want to uncover tractable ways through which agents learn and evolve effective cooperation techniques that are actually generalizable to a wide range of problems including in the real-world.
What aspect of what you do is most interesting?
It often astonishes me that humans can process information in a much more sophisticated manner. Yet despite apparent gaps, we find current autonomous machines and processes already incredibly valuable in our society. I am almost sure that as automation becomes more efficient, robust, and more at scale, it could completely alter our current lifestyles and values.
What are your research or career goals, going forward?
I want to eventually become an expert in the domain and contribute to this vibrant field with inspiring theoretical research and potential real-world applications.
Where did you spend your most defining years?
I grew up in Tianjin, a Chinese city with a mindbogglingly optimistic culture. The most defining years might have been my undergraduate days, opening to a great variety of disciplines and beliefs.
Where did you study for your undergraduate degree?
I started my undergrad at UC Irvine majored in “psychology and social behavior”. I was keen to analyze social problems and its human aspects. By accident, I find myself interested in information theories and applications, hence here I am.
Education
- MS, Northeastern University
- BS, University of California, Irvine
About Me
- Hometown: TianJin, China
- Field of Study: Artificial Intelligence
- PhD Advisor: Christopher Amato
Biography
Bio coming soon.
What are the specifics of your graduate education (thus far)?
I started my MS in CS studies here at Northeastern University, during which time I started working with Professor Chris Amato on sequential decision-making problems and finally shifted my interests towards cooperative multi-agent systems.
What are your research interests?
My interest in reinforcement learning techniques was immediately formed when I was first introduced to Artificial Intelligence, as it represents a journey of demystifying optimal design-making and planning in the physical world. Upon further exploration in the field, multi-agent cooperation and emergent behaviors hooked my interest: not only because they hold great difficulty and application promises, but also because solving those problems provides insights into human organizations, languages, and social structures around us.
What’s one problem you’d like to solve with your research/work?
I want to uncover tractable ways through which agents learn and evolve effective cooperation techniques that are actually generalizable to a wide range of problems including in the real-world.
What aspect of what you do is most interesting?
It often astonishes me that humans can process information in a much more sophisticated manner. Yet despite apparent gaps, we find current autonomous machines and processes already incredibly valuable in our society. I am almost sure that as automation becomes more efficient, robust, and more at scale, it could completely alter our current lifestyles and values.
What are your research or career goals, going forward?
I want to eventually become an expert in the domain and contribute to this vibrant field with inspiring theoretical research and potential real-world applications.
Where did you spend your most defining years?
I grew up in Tianjin, a Chinese city with a mindbogglingly optimistic culture. The most defining years might have been my undergraduate days, opening to a great variety of disciplines and beliefs.
Where did you study for your undergraduate degree?
I started my undergrad at UC Irvine majored in “psychology and social behavior”. I was keen to analyze social problems and its human aspects. By accident, I find myself interested in information theories and applications, hence here I am.
Recent Publications
Recent Publications
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
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About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...