The Game AI Group at Queen Mary University of London presented 12 papers, 1 demo and 1 tutorial at the IEEE Conference on Games 2020 (24-27 August 2020).
PAPERS
AI for Playing Games
Christopher Bamford and Simon Lucas
Neural Game Engine: Accurate learning of generalizable forward models from pixels
Ivan Bravi and Simon Lucas
Rinascimento: using event-value functions for playing Splendor
Raluca D. Gaina, Chiara F. Sironi, Mark H. M. Winands, Diego Perez Liebana and Simon Lucas
Self-Adaptive Rolling Horizon Evolutionary Algorithms for General Video Game Playing
Diego Perez Liebana, Muhammad Sajid Alam and Raluca D. Gaina
Rolling Horizon NEAT for General Video Game Playing
Martin Balla, Simon Lucas and Diego Perez Liebana
Evaluating Generalization in General Video Game Playing
Alvaro Ovalle and Simon Lucas
Bootstrapped model learning and error correction for planning with uncertainty in model-based RL
Alexander Dockhorn and Simon Lucas
Local Forward Model Learning for GVGAI Games
Simon Lucas
Demo Paper: Cross Platform Games in Kotlin
Education and Games
Jack Ratcliffe and Laurissa Tokarchuk
Evidence for embodied cognition in immersive virtual environments using a second language learning environment
Game Design
Daniel Hernandez, Charles Takashi Toyin Gbadamosi, James Goodman and James Alfred Walker
Metagame Autobalancing for Competitive Multiplayer Games
Rokas Volkovas, Michael Fairbank, John Woodward and Simon Lucas
Practical Game Design Tool: State Explorer
PCG and AI for Game Design
Michael Cook
Procedural Generation and Information Games
Michael Cook
Software Engineering For Automated Game Design
TUTORIALS
Michael Cook
Getting Started in Automated Game Design
Aug 25th: 14:00-14:30 BST Joint Q&A live session for the tutorial