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).
AI for Playing Games
Martin Balla and Diego Perez-Liebana
Task Relabelling for Multi-task Transfer using Successor Features
MCTS for Games
James Goodman, Simon Lucas and Diego Perez-Liebana
MultiTree MCTS in Tabletop Games
Marko Tot, Michelangelo Conserva, Sam Devlin and Diego Perez-Liebana
Turning Zeroes into Non-Zeroes: Sample Efficient Exploration with Monte Carlo Graph Search
Linjie Xu, Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen and Diego Perez-Liebana
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing
PCG
Oliver Withington and Laurissa Tokarchuk
Compressing and Comparing the Generative Spaces of Procedural Content Generators
Benchmarks and Competitions
Raluca D. Gaina and Martin Balla
TAG: Pandemic Competition
Vision
Michael Cook
Optimists At Heart: Why Do We Research Game AI?