Event type:

In person

Date & time:

23 May 2018, 17:30 – 20:00

Inaugural Lecture: David Silver

In this talk, David Silver from Google DeepMind will talk about mastering Go, chess and shogi by self-play with a general reinforcement learning algorithm.

David Silver

Lead researcher

Google DeepMind

David Silver leads the reinforcement learning research group at Google DeepMind. David graduated from Cambridge University in 1997 with the Addison-Wesley award. Subsequently, David co-founded the video games company Elixir Studios, where he was CTO and lead programmer, receiving several awards for technology and innovation. David returned to academia in 2004 to study for a PhD on reinforcement learning with Rich Sutton, where he co-introduced the algorithms used in the first master-level 9x9 Go programs. David was awarded a Royal Society University Research Fellowship in 2011, and subsequently became a lecturer at University College London. David consulted for DeepMind from its inception, joining full-time in 2013. His recent work has focused on combining reinforcement learning with deep learning, including a program that learns to play Atari games directly from pixels (Nature 2015). David led the AlphaGo project, culminating in the first program to defeat a top professional player in the full-size game of Go (Nature 2016), and the AlphaZero project, which learned by itself to defeat the world's strongest chess, shogi and Go programs (Nature 2017).

Further information

Ticketing

Ticketed

Cost

Free

Open to

All

Availability

Yes

Organiser

UCL Computer Science

computerscience.comms@ucl.ac.uk