[CMU AI Seminar] Mar 16 (Zoom) -- Raia Hadsell (DeepMind) -- Scalable Robot Learning in Rich Environments -- AI Seminar sponsored by Fortive

[Shaojie Bai]

Hi all,

Just a reminder that the CMU AI Seminar <http://www.cs.cmu.edu/~aiseminar/> is
tomorrow 12pm-1pm:
https://cmu.zoom.us/j/93418102649?pwd=TTd4dElxWnBOZHJ5QndUNVBWUjZCZz09.

Raia Hadsell (DeepMind) will be talking about some recent challenges
involved in scalable robot learning (see below).

Thanks,
Shaojie

On Tue, Mar 9, 2021 at 1:13 PM Shaojie Bai <shaojieb at andrew.cmu.edu> wrote:

> Dear all,
>
> We look forward to seeing you *next Tuesday (3/16)* from 12:00-1:00 PM
> (U.S. Eastern time) for the next talk of our *CMU AI seminar*, sponsored
> by Fortive <https://careers.fortive.com/>.
>
> To learn more about the seminar series or see the future schedule, please
> visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.
> <http://www.cs.cmu.edu/~aiseminar/>
>
> On 3/16, *Raia Hadsell <http://raiahadsell.com/index.html>* (DeepMind)
> will be giving a talk on "*Scalable Robot Learning in Rich Environments*."
>
> *Title*: Scalable Robot Learning in Rich Environments
>
> *Talk Abstract*: As modern machine learning methods push towards
> breakthroughs in controlling physical systems, games and simple physical
> simulations are often used as the main benchmark domains. As the field
> matures, it is important to develop more sophisticated learning systems
> with the aim of solving more complex real-world tasks, but problems like
> catastrophic forgetting and data efficiency remain critical, particularly
> for robotic domains. This talk will cover some of the challenges that exist
> for learning from interactions in more complex, constrained, and real-world
> settings, and some promising new approaches that have emerged.
>
> *Speaker Bio*: Raia Hadsell is the Director of Robotics at DeepMind. Dr.
> Hadsell joined DeepMind in 2014 to pursue new solutions for artificial
> general intelligence. Her research focuses on the challenge of continual
> learning for AI agents and robots, and she has proposed neural approaches
> such as policy distillation, progressive nets, and elastic weight
> consolidation to solve the problem of catastrophic forgetting. Dr. Hadsell
> is on the executive boards of ICLR (International Conference on Learning
> Representations), WiML (Women in Machine Learning), and CoRL (Conference on
> Robot Learning). She is a fellow of the European Lab on Learning Systems
> (ELLIS), a founding organizer of NAISys (Neuroscience for AI Systems), and
> serves as a CIFAR advisor.
>
> *Zoom Link*:
> https://cmu.zoom.us/j/93418102649?pwd=TTd4dElxWnBOZHJ5QndUNVBWUjZCZz09
>
>
> Thanks,
> Shaojie Bai (MLD)
>
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