IJCNN-21 Special Session: Deep Learning and Reinforcement Learning for Games

 Organisers: Yuanheng Zhu (yuanheng.zhu@ia.ac.cn), Prof.Dongbin Zhao, Prof. Risto Miikkulainen

(Rio de Janeiro, Brazil, July 8 – 13 2018, http://www.ecomp.poli.br/~wcci2018/ )

Scope and Aims:

 Games have always been one of the most attractive fields for computational intelligence. Researchers in this field are making effort to let computer beat human experts, and a lot of games have been conquered by computers, such as Chess, Atari, Go, No-limited Texas Hold’em poker. Games provide a convenient and comparative platform to test performance of methods in various areas, such as perception, strategy, planning, multi-agent, adaptation, etc. Nowadays with the development of deep learning and reinforcement learning, computers have gained more and more power in game intelligence. But for more complicated games like StarCraft that involves more game rules, more characteristics, more strategies, computers are still far from intelligence. New theories, algorithms and experiments need to be exploited to promote the community.

Topics:

The topics of the special session include, but are not limited to:

• Deep/reinforcement learning for one-character games;
• Deep/reinforcement learning for multi-character games;
• Deep/reinforcement learning for real-time strategy games;
• Deep/reinforcement learning for zero-sum games;
• Deep/reinforcement learning for game perception;
• Deep/reinforcement learning for state representation in games;
• Deep/reinforcement learning for human-computer interaction in games;
• Deep/reinforcement learning for multi-agent operation in games;
• Deep/reinforcement learning for long-term strategy and planning in games;
• Deep/reinforcement learning for a wide range of games.

Paper Submission

      WCCI2018 homepage:  http://www.ecomp.poli.br/~wcci2018/

      IJCNN2018 submit link:  http://ieee-cis.org/conferences/ijcnn2018/upload.php

      The main research topic: S23. Special Session on Deep Learning and Reinforcement Learning for Games

Important Dates

• 15th January 2018 – Paper Submission              15th March 2018 – Paper Acceptance
• 1st May 2018 – Final Paper Submission               1st May 2018 – Early Registration
• 8-13 July 2018 – IEEE WCCI 2018, Rio de Janeiro, Brazil