The first IEEE CIS Short Video Competition took place as one of the competitions for IEEE CIG 2018 in Maastricht on August 15th. The aim is to run these short video competitions in conjunction with all IEEE CIS sponsored conferences, as a way to provide source of interesting videos showcasing CI.
The videos were presented in a plenary session, with the audience voting to deciding the ranking. Congratulations to the winner, runners up and indeed all the entrants for their excellent videos. The results were:
- Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network by Vanessa Volz
- Automated Curriculum Learning by Rewarding Temporally Rare Events by Niels Justesen and Sebastian Risi
- General Win Prediction: CIG 2018 Short Video Competition by Raluca Gaina and Diego Perez-Liebana
Other entries (no particular order):
- Coupled Empowerment Maximisation for Adaptive, Believable Game Characters by Christian Guckelsberger
- Overview on the shallow decision-making analysis in GVGAI by Ivan Bravi
- Tilt by Giovanni Rubino, Simon Colton, and Joan Casas-Roma
- Reusability of Evolved MCTS Tree Policies for General Video Game Playing by Ivan Bravi
- Showcase of AI techniques in StarCraft by Martin Rooijackers
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