[AI Seminar] Online AI Seminar on Nov 10 (Zoom) -- Oriol Vinyals -- Model-free vs Model-based Reinforcement Learning -- AI seminar is sponsored by Fortive

[Aayush Bansal]

Oriol Vinyals (Google DeepMind) will be giving an online seminar on
"Model-free vs Model-based Reinforcement Learning" from 12:00 noon - 01:00
PM ET on Nov 10.

*Zoom Link*:
https://cmu.zoom.us/j/95812775909?pwd=ZlBNbDdpbkNvVzFGZ0ZHbm03VVdBZz09

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *Model-free vs Model-based Reinforcement Learning

*Abstract: *In this talk, we will review model-free and model-based RL, two
paradigms that have enabled global breakthroughs in AI research. This
research included the ability to defeat professionals at the games of Go,
Poker, StarCraft, or DOTA, and in other fields such as Robotics. Using the
examples of the AlphaGo and AlphaStar agents, I'll present two approaches
from these paradigms in RL and will conclude the talk by presenting some
exciting new research directions that may unlock the power of model-based
RL in a wider variety of environments, including stochastic, partial
observable, with complex observation and action spaces.


*Bio:* Oriol Vinyals is a Principal Scientist at Google DeepMind and a team
lead of the Deep Learning group. His work focuses on Deep Learning and
Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the
Google Brain team. He holds a Ph.D. in EECS from the University of
California, Berkeley, and is a recipient of the 2016 MIT TR35 innovator
award. His research has been featured multiple times at the New York Times,
Financial Times, WIRED, BBC, etc., and his articles have been cited over
90000 times. Some of his contributions such as seq2seq, knowledge
distillation, or TensorFlow are used in Google Translate, Text-To-Speech,
and Speech recognition, serving billions of queries every day, and he was
the lead researcher of the AlphaStar project, creating an agent that
defeated a top professional at the game of StarCraft, achieving Grandmaster
level, also featured as the cover of Nature. At DeepMind he continues
working on his areas of interest, which include artificial intelligence,
with particular emphasis on machine learning, deep learning, and
reinforcement learning.


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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