[AI Seminar] Online AI Seminar on March 31 (Zoom) -- Emma Brunskill -- Learning from Limited Samples to Robustly Make Good Decisions. AI seminar is sponsored by Fortive.

[Aayush Bansal]

Emma Brunskill (Stanford University) will be giving an online seminar on
"Learning from Limited Samples to Robustly Make Good Decisions" from *12:00
- 01:00 PM* on March 31.

Zoom Link: *https://cmu.zoom.us/j/262225154
<https://cmu.zoom.us/j/262225154>*

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *Learning from Limited Samples to Robustly Make Good Decisions

*Abstract: *There is increasing excitement and impressive empirical
successes using reinforcement learning-- where agents can learn through
experience to make decisions. Yet people are remarkably able to do so much
faster and for much more complicated objectives. Creating algorithms that
can mimic such performance is an essential part of achieving artificial
intelligence. Equally importantly, it will help us to use reinforcement
learning to assist people in the numerous societal challenges, including
education and healthcare, where humans plus AI may be able to do far better
than either alone. In this talk, I will discuss our progress on some of the
technical challenges that arise in this pursuit, including sample
efficiency, counterfactual reasoning, robustness, and applications to
health and education.

*Bio*: Emma Brunskill is an assistant professor in the Computer Science
Department at Stanford University where she leads the AI for Human Impact
group. She was previously an assistant professor at Carnegie Mellon
University in the Computer Science department. She is the recipient of
multiple early faculty career awards (National Science Foundation, Office
of Naval Research, Microsoft Research) and her group has received several
best research paper nominations (CHI, EDMx3) and awards (UAI, RLDM).

To learn more about the seminar series, please visit the website
<http://www.cs.cmu.edu/~aiseminar/>.

-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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