<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div class="gmail_default"><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">  Monday, November 30th at 11:10 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b>     </font></font><font color="#000000">Zoom Virtual Talk (</font><b><font color="#0000ff"><a href="https://uchicagogroup.zoom.us/webinar/register/WN_4ZolnR7FQsK1MTmfUfss8g" target="_blank">register in advance here</a></font></b><font color="#000000">)</font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>       </font></font>Oriol Vinyals, Google DeepMind</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><b><font face="arial, sans-serif"><br></font></b></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><b><font face="arial, sans-serif"><br></font></b></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span style="color:rgba(0,0,0,0.9)"><b>Title:</b>        </span>Model-free vs Model-based Reinforcement Learning<span style="color:rgba(0,0,0,0.9)"> </span></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><font face="arial, sans-serif"><br></font></span></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"><b><span style="color:rgb(60,64,67);letter-spacing:0.15pt">Abstract: </span></b>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.</font></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"><b>Bio:</b> 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.</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"></p><p class="MsoNormal" style="margin:0in 0in 8pt;line-height:normal"><font face="arial, sans-serif"> </font></p><div dir="auto"><div style="margin:0px;padding:0px 0px 20px;width:1120px"><div><div id="gmail-m_870542335176032464gmail-m_1117093116469223578gmail-:369" style="direction:ltr;margin:8px 0px 0px;padding:0px"><div id="gmail-m_870542335176032464gmail-m_1117093116469223578gmail-:1ro" style="overflow:hidden;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:1.5"><div dir="auto"><div><div dir="auto"><b style="font-family:arial,sans-serif">Host:</b><span style="font-family:arial,sans-serif"> </span><a href="mailto:mcallester@ttic.edu" target="_blank" style="font-family:arial,sans-serif">David McAllester</a></div></div></div></div></div></div></div></div></div><div class="gmail_default"><font face="arial, sans-serif"><br></font></div><div class="gmail_default"><div><font face="arial, sans-serif">For more information on the colloquium series or to subscribe to the mailing list, please see <a href="http://www.ttic.edu/colloquium.php" target="_blank">http://www.ttic.edu/colloquium.php</a>    <br></font></div><div><br style="color:rgb(80,0,80)"></div><div><br></div></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sun, Nov 29, 2020 at 3:02 PM Mary Marre <<a href="mailto:mmarre@ttic.edu">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div style="font-size:small"><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">  Monday, November 30th at 11:10 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b>     </font></font><font color="#000000">Zoom Virtual Talk (</font><b><font color="#0000ff"><a href="https://uchicagogroup.zoom.us/webinar/register/WN_4ZolnR7FQsK1MTmfUfss8g" target="_blank">register in advance here</a></font></b><font color="#000000">)</font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>       </font></font>Oriol Vinyals, Google DeepMind</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><b><font face="arial, sans-serif"><br></font></b></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><b><font face="arial, sans-serif"><br></font></b></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span style="color:rgba(0,0,0,0.9)"><b>Title:</b>        </span>Model-free vs Model-based Reinforcement Learning<span style="color:rgba(0,0,0,0.9)"> </span></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><font face="arial, sans-serif"><br></font></span></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"><b><span style="color:rgb(60,64,67);letter-spacing:0.15pt">Abstract: </span></b>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.</font></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"><b>Bio:</b> 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.</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"></p><p class="MsoNormal" style="margin:0in 0in 8pt;line-height:normal"><font face="arial, sans-serif"> </font></p><div dir="auto"><div style="margin:0px;padding:0px 0px 20px;width:1120px"><div><div id="gmail-m_870542335176032464gmail-m_1117093116469223578gmail-:369" style="direction:ltr;margin:8px 0px 0px;padding:0px"><div id="gmail-m_870542335176032464gmail-m_1117093116469223578gmail-:1ro" style="overflow:hidden;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:1.5"><div dir="auto"><div><div dir="auto"><b style="font-family:arial,sans-serif">Host:</b><span style="font-family:arial,sans-serif"> </span><a href="mailto:mcallester@ttic.edu" style="font-family:arial,sans-serif" target="_blank">David McAllester</a></div></div></div></div></div></div></div></div></div><div><font face="arial, sans-serif"><br></font></div><div><div><font face="arial, sans-serif">For more information on the colloquium series or to subscribe to the mailing list, please see <a href="http://www.ttic.edu/colloquium.php" target="_blank">http://www.ttic.edu/colloquium.php</a>    <br></font></div><div><br style="color:rgb(80,0,80)"></div><div><br></div><div><br></div></div></div><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Mon, Nov 23, 2020 at 4:25 PM Mary Marre <<a href="mailto:mmarre@ttic.edu" target="_blank">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">  Monday, November 30th at 11:10 am</font></font><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Where:</b>     </font></font><font color="#000000">Zoom Virtual Talk (</font><b><font color="#0000ff"><a href="https://uchicagogroup.zoom.us/webinar/register/WN_4ZolnR7FQsK1MTmfUfss8g" target="_blank">register in advance here</a></font></b><font color="#000000">)</font></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>       </font></font>Oriol Vinyals, Google DeepMind</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><b><font face="arial, sans-serif"><br></font></b></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><b><font face="arial, sans-serif"><br></font></b></span></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span style="color:rgba(0,0,0,0.9)"><b>Title:</b>        </span>Model-free vs Model-based Reinforcement Learning<span style="color:rgba(0,0,0,0.9)"> </span></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="color:rgba(0,0,0,0.9)"><font face="arial, sans-serif"><br></font></span></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"><b><span style="color:rgb(60,64,67);letter-spacing:0.15pt">Abstract:
</span></b>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.</font></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"> </font></p><p class="MsoNormal" style="margin:0in;line-height:normal"><font face="arial, sans-serif"><b>Bio:</b> 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.</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">





</p><p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt"><font face="arial, sans-serif"> </font></p><div dir="auto"><div style="margin:0px;padding:0px 0px 20px;width:1120px"><div><div id="gmail-m_870542335176032464gmail-m_1117093116469223578gmail-:369" style="direction:ltr;margin:8px 0px 0px;padding:0px"><div id="gmail-m_870542335176032464gmail-m_1117093116469223578gmail-:1ro" style="overflow:hidden;font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:1.5"><div dir="auto"><div><div dir="auto"><b style="font-family:arial,sans-serif">Host:</b><span style="font-family:arial,sans-serif"> </span><a href="mailto:mcallester@ttic.edu" style="font-family:arial,sans-serif" target="_blank">David McAllester</a></div></div></div></div></div></div></div></div></div><div><font face="arial, sans-serif"><br></font></div><div><div><font face="arial, sans-serif">For more information on the <span>colloquium</span> series or to subscribe to the mailing list, please see <a href="http://www.ttic.edu/colloquium.php" target="_blank">http://www.ttic.edu/colloquium.php</a>    <br></font></div><div><br style="color:rgb(80,0,80)"></div><div style="font-size:small"><br></div><div style="font-size:small"><br></div><div style="font-size:small"><br></div></div></div><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 517</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL  60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
</blockquote></div></div>
</blockquote></div></div>