Fwd: Call for papers for the Video Games and Machine Learning workshop

[Julian Togelius]

Hi all,

We're organizing a workshop on machine learning in video games at ICML
2017 - see below:

Julian

---------- Forwarded message ----------
From: gabriel synnaeve <gabriel....@gmail.com>
Date: Wed, Jun 14, 2017 at 2:30 PM
Subject: Call for papers for the Video Games and Machine Learning workshop
To: cig...@googlegroups.com


Dear colleagues,

We are inviting submissions to the VGML workshop @ICML2017
https://syhw.github.io/vgml_workshop_icml2017/


Important dates:
- Submission deadline: June 23rd midnight pacific time.
- Acceptance/rejection answer by: July 7th.
- Workshop at ICML (Sydney): August 10th.


Abstract:
Good benchmarks are necessary for developing artificial intelligence.
Recently, there has been a growing movement for the use of video games
as machine learning benchmarks, and also an interest in the
applications of machine learning from the video games community. While
games have been used for AI research for a long time, only recently
have we seen modern machine learning methods applied to video games.

This workshop focuses on complex games which provide interesting and
hard challenges for machine learning. Going beyond simple toy problems
of the past, and games which can easily be solved with search, we
focus on games where learning is likely to be necessary to play well.
This includes strategy games such as StarCraft, open-world games such
as MineCraft, first-person shooters such as Doom, as well as hard and
unsolved 2D games such as Ms. Pac-Man and Montezuma's Revenge. While
we see most of the challenges in game-playing, there are also
interesting machine learning challenges in modeling and content
generation. This workshop aims at bringing together all researchers
from ICML who want to use video games as a benchmark.


Submissions:
We invite contributions on any topic that brings together video games
and machine learning. We welcome contributions up to four (4) pages of
body, with unlimited pages for references and appendices. Reviewers
can take their decision based only on the four pages of body.
Submissions should be blind (anonymous version).

All accepted papers will have a poster, we will have dedicated time
for poster sessions, and we reserve orals for submissions with (in
order of priority): interactive demos, demos, and videos.

Submission URL: https://easychair.org/conferences/?conf=vgml2017
Paper style kit (same as ICML):
https://2017.icml.cc/Conferences/2017/StyleAuthorInstructions


Invited Speakers:
Katja Hofmann, Microsoft Research, project Malmo lead
Honglak Lee, University of Michigan, associate professor, Google
Brain, research scientist
Spyros Samothrakis, University of Essex, research fellow
Marc G. Bellemare, Google DeepMind, research scientist (confirmed)
Max Jaderberg, Google DeepMind, research scientist
Blizzard speaker about StarCraft (confirmed)
OpenAI speaker about Universe/RL (tentative)
Yuandong Tian, Facebook, research scientist
Magnus Nordin, Electronic Arts, head of DL team


Thank you,
Gabriel Synnaeve (g...@fb.com, Facebook AI Research)
Julian Togelius (jul...@togelius.com, NYU)
Tom Schaul (sch...@gmail.com, Google DeepMind)
Oriol Vinyals (vin...@google.com, Google DeepMind)
Nicolas Usunier (usu...@fb.com, Facebook AI Research)

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--
Julian Togelius
Associate Professor, New York University
Department of Computer Science and Engineering
mail: jul...@togelius.com, web: http://julian.togelius.com