[Coral_current] Fwd: Talk Monday at 10 AM: Marc Deisenroth (fwd)

[Tim Oates]

Check out the talk below!



---------------------------------------
Tim Oates, Professor
Department of CS and EE
University of Maryland Baltimore County
(410) 455-3082
https://coral-lab.umbc.edu/oates/

---------- Forwarded message ----------
Date: Fri, 20 Oct 2023 12:41:47 -0400
From: Cynthia Matuszek <cmat at umbc.edu>
To: Tim Oates <oates at cs.umbc.edu>
Subject: Fwd: Talk Monday at 10 AM: Marc Deisenroth

Hi Tim,

We have a visiting professor coming this Monday at 10 to give a talk, and I
hope it will be really interesting. Would be interested in sharing the
attached details with your students?

Thanks!
Cynthia

---------- Forwarded message ---------
From: Cynthia Matuszek <cmat at umbc.edu>
Date: Fri, Oct 20, 2023 at 8:56?AM
Subject: Talk Monday at 10 AM: Marc Deisenroth
To: Interactive Robotics and Language lab mailing list <iral at cs.umbc.edu>


Time: 10 AM, 10/23
Where: ITE 325B

Speaker: Marc Deisenroth

Title: Data-Efficient Robot Learning

Abstract: Data efficiency, i.e., learning from small datasets, is of
practical importance in many real-world applications and decision-making
systems. Data efficiency can be achieved in multiple ways, such as
probabilistic modeling, where models and predictions are equipped with
meaningful uncertainty estimates, Bayesian optimization, transfer
learning, or the incorporation of valuable prior knowledge.
In this talk, I will focus on how robot learning can benefit from
data-efficient learning. In particular, I will motivate the use of
Gaussian process models for learning good control strategies in three
different settings: model-based reinforcement learning, transfer
learning, and Bayesian optimization.

Bio: Professor Marc Deisenroth is the DeepMind Chair of Machine Learning
and Artificial Intelligence at University College London, Deputy
Director of the UCL Centre for Artificial Intelligence, and part of the
UNESCO Chair on Artificial Intelligence at UCL. He also holds a visiting
faculty position at the University of Johannesburg. Marc co-leads the
Sustainability and Machine Learning Group at UCL. His research interests
center around data-efficient machine learning, probabilistic modeling
and autonomous decision making with applications in weather, nuclear
fusion, and robotics.
Marc was Program Chair of EWRL 2012, Workshops Chair of RSS 2013, EXPO
Chair at ICML 2020, Tutorials Chair at NeurIPS 2021, and Program Chair
at ICLR 2022. He is an elected member of the ICML Board. He received
Paper Awards at ICRA 2014, ICCAS 2016, ICML 2020, AISTATS 2021, and
FAccT 2023.