[CMU AI Seminar] Special! October 26 at 12pm (NSH 4305 & Zoom) -- Sherry Yang (Google DeepMind) -- Foundation Models for Decision Making: Problems, Methods, and Applications -- AI Seminar sponsored by SambaNova Systems

[Asher Trockman]

Dear all,

We look forward to seeing you *this Thursday (10/26)* from *1**2:00-1:00 PM
(U.S. Eastern time)* for a special installment of this semester's
*CMU AI Seminar*, sponsored by SambaNova Systems <https://sambanova.ai/>.
The seminar will be held in *NSH 4305* and will be streamed on Zoom. *Note
the different room! (NSH 4305)*

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

Tomorrow, this Thursday (10/26), *Sherry Yang* (Google DeepMind / UC
Berkeley) will be giving a talk titled *"**Foundation Models for Decision
Making: Problems, Methods, and Applications**"*.

*Title*: Foundation Models for Decision Making: Problems, Methods, and
Applications

*Talk Abstract*: Foundation models pretrained on internet vision and
language data have greatly advanced artificial intelligence in vision and
language tasks. However, many tasks ranging from controlling physical
systems to making scientific discoveries do not operate in image or text
space while only having limited data available for learning. How to achieve
behaviors better than the dataset in these broader tasks with limited data
becomes a pressing challenge to today’s learning systems. In this talk, we
will provide three foundation model inspired approaches including
representation learning, conditional generative modeling, and repurposing
pretrained vision and language models to improve learning for the broader
set of tasks that involve control and decision making.

*Speaker Bio:* Sherry is a final year PhD student at UC Berkeley advised by
Pieter Abbeel and a senior research scientist at Google DeepMind. Her
research interests include imitation learning, deep reinforcement learning,
and recently foundation models for decision making. She has worked on
offline policy evaluation and selection, provably beneficial representation
learning for imitation, reinforcement learning for natural language
generation, and generative modeling for control, planning, and decision
making. Sherry has served as program committee of IJCAI and reviewer for
ICML, NeurIPS, ICLR, AISTATS, and AAAI. She is the lead organizer for the
Foundation Models for Decision Making workshop at NeurIPS 2022 and 2023,
bringing together research communities in vision, language, planning, and
reinforcement learning to solve complex decision making tasks at scale.
Before her current role, Sherry received her Bachelor’s and Master’s degree
from MIT advised by Patrick Winston and Julian Shun.

*In person: *NSH 4305
*Zoom Link*:
https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09

Thanks,
Asher Trockman
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/ai-seminar-announce/attachments/20231025/df227077/attachment.html>