[CMU AI Seminar] October 24 at 12pm (NSH 3305 & Zoom) -- Tongzhou Wang (MIT) -- Quasimetric Reinforcement Learning -- AI Seminar sponsored by SambaNova Systems

[Asher Trockman]

Dear all,

We look forward to seeing you *this Tuesday (10/24)* from *1**2:00-1:00 PM
(U.S. Eastern time)* for the next talk of this semester's *CMU AI Seminar*,
sponsored by SambaNova Systems <https://sambanova.ai/>. The seminar will be
held in NSH 3305 *with pizza provided *and will be streamed on Zoom.

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

On this Tuesday (10/24), *Tongzhou Wang* (MIT) will be giving a talk titled
*"**Quasimetric Reinforcement Learning**"*.

*Title*: Quasimetric Reinforcement Learning

*Talk Abstract*: In goal-reaching agents, how are strategies for different
goals related? Can we solve goal-reaching reinforcement learning (RL) with
a sufficiently good representation of states and goals? In this talk, I
will present a method for training high-performance optimal goal-reaching
agents by learning a quasimetric geometry. This talk consists of three
parts:
1. Goal-Reaching RL == _Quasimetric_ Geometry Learning.
2. How to represent this geometry? Deep quasimetric models.
3. How to learn this geometry from local transitions? A geometric argument
based on quasimetric properties.

*Speaker Bio:* Tongzhou <https://www.tongzhouwang.info> is a final year PhD
student at MIT, advised by Phillip Isola and Antonio Torralba. His research
interests lie in structures in machine learning and artificial agents,
focusing on learning structured representations for better perception and
decision-making. His work spans representation learning, reinforcement
learning, and machine learning. Tongzhou co-organized the Goal-Conditioned
Reinforcement Learning workshop at NeurIPS 2023, bridging researchers and
practitioners across machine learning and decision-making. Before his PhD
study, Tongzhou received his bachelor's degree from UC Berkeley while
working with Stuart Russell, Alyosha Efros and Ren Ng, and was an early
member of the PyTorch team at Facebook AI Research.

*In person: *NSH 3305
*Zoom Link*:
https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09

Thanks,
Asher Trockman
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