Activities

Competitions, workshops, and events organized or co-organized by our group.


CI4Games Tutorial @ WCCI 2026  |  Games Competition @ WCCI 2026


Description

This tutorial introduces several techniques and application areas for computational intelligence in games, covering board games and video games. Topics include learning policies (e.g., evolutionary reinforcement learning via neuroevolution), planning (e.g., rolling horizon and online planning), and designing (e.g., search-based procedural content generation, PCG via reinforcement learning, experience-driven PCG). Recent advances of LLMs in games are also covered. Organised by Jialin Liu (Lingnan University), Julian Togelius (NYU), and Georgios Yannakakis (University of Malta).

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CoG 2021


Description

The General Video Game AI (GVGAI) Learning Competition explores the problem of transferring and reusing the knowledge learnt on given levels of single-player games to play unseen levels without access to any forward model or explicit game rules.

We also get the competition funding this year from the IEEE CIS Competition Sub-Committee.

Impotant Dates

Agent submission close: 23:59 (GMT), July 31st, 2021

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PPSN 2020, CoG 2020


Description

The General Video Game AI (GVGAI) Learning Competition explores the problem of transferring and reusing the knowledge learnt on given levels of single-player games to play unseen levels without access to any forward model or explicit game rules.

More information link to CoG website.

Deadline

July 31st 2020, 23:59 (GMT)

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IEE Conference on Games 2019


Description

The General Video Game AI (GVG-AI) Competition explores the problem of creating agents for general video game playing. How would you create a single agent that is able to play any game it is given?

More information link to CoG website.

Deadline

15th July 2019, 23:59 (GMT)

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Description

The General Video Game AI (GVG-AI) Competition explores the problem of creating agents for general video game playing. How would you create a single agent that is able to play any game it is given? Could you program an agent that is able to play a wide variety of games, without knowing which games are to be played and without a forward model?

Deadline

30th April 2019, 29:59 (GMT)

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