School of Computing

Mar 20
14:00 - 15:00
compint: Sam Devlin
Computational Intelligence Group Seminar
Adaptive, Learning Agents for Enhanced Player Experience

Abstract: Recent advances in deep reinforcement learning have significantly and rapidly increased the complexity of games playable by Artificial Intelligence (AI). As this technology quickly becomes applicable to the ~$100 billion global game industry, the question of its use in modern videogames changes from a speculative if/when will it be used to enquiries on how it can be best used to enhance player experience. In this talk, I will discuss how we at The Digital Creativity Labs are working to accelerate it's adoption by commercial game developers with a focus on recent work emulating human play.

Bio: Dr Sam Devlin (http://www-users.cs.york.ac.uk/~devlin/) is a transitional research fellow/lecturer in the Digital Creativity Labs (www.digitalcreativity.ac.uk) where his research is focussed on machine learning, artificial intelligence and digital games. Previously, he received an MEng degree in Computer Systems and Software Engineering from the University of York, UK, in 2009. In 2013, he completed his PhD on multi-agent reinforcement learning at the University of York and visited Oregon State University funded by a Santander International Connections Award. Before starting his role at the Digital Creativity Labs, we was a Research Associate on the EPSRC funded New Economic Models and Opportunities for digital Games project (www.nemog.org) from 2013-2015, working on data mining for collective game intelligence. 

Location

SW101,
Cornwallis South West,
University of Kent,
Canterbury,
Kent,
CT2 7NF
United Kingdom
Map

Details

Contact: Marek Grzes
E: m.grzes@kent.ac.uk

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 14/08/2015