Please join using the Zoom link and post your questions on Rocketchat.
Julian Togelius (New York University)
Julian Togelius is an Associate Professor in the Department of Computer Science and Engineering, New York University, USA. He works on all aspects of computational intelligence and games and on selected topics in evolutionary computation and evolutionary reinforcement learning. His current main research directions involve search-based procedural content generation in games, general video game playing, player modeling, and fair and relevant benchmarking of AI through game-based competitions. He is a past chair of the IEEE CIS Technical Committee on Games, and an associate editor of IEEE Transactions on Computational Intelligence and Games. Togelius holds a BA from Lund University, an MSc from the University of Sussex, and a PhD from the University of Essex. He has previously worked at IDSIA in Lugano and at the IT University of Copenhagen.
William Guss (Carnegie Mellon University)
More from the Same Authors
2020 : Poster session »
Noboru Kuno · Kavya Srinet · William Guss · Brandon Houghton
2020 : Endless Frontiers? »
2020 : What an Agent Knows: Evaluation in Open Worlds Q&A »
Alex Kearney · William Guss
2020 Workshop: Workshop on Learning in Artificial Open Worlds »
Arthur Szlam · Katja Hofmann · Ruslan Salakhutdinov · Noboru Kuno · William Guss · Kavya Srinet · Brandon Houghton
2017 Workshop: Video Games and Machine Learning »
Gabriel Synnaeve · Julian Togelius · Tom Schaul · Oriol Vinyals · Nicolas Usunier