The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation

The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation

16 February 2018

Diego Perez-Liebana

Papers citing "The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation"

8 / 8 papers shown

Title
Strategy Game-Playing with Size-Constrained State Abstraction Linjie Xu Diego Perez-Liebana Alexander Dockhorn 37 0 0 12 Aug 2024
Flexible K Nearest Neighbors Classifier: Derivation and Application for Ion-mobility Spectrometry-based Indoor Localization Philipp Müller 15 0 0 20 Apr 2023
Genetic multi-armed bandits: a reinforcement learning approach for discrete optimization via simulation D. Preil M. Krapp AI4CE 16 1 0 15 Feb 2023
Does it matter how well I know what you're thinking? Opponent Modelling in an RTS game J. Goodman Simon Lucas 16 6 0 15 Jun 2020
Rinascimento: using event-value functions for playing Splendor Ivan Bravi Simon Lucas 27 2 0 10 Jun 2020
Rolling Horizon Evolutionary Algorithms for General Video Game Playing Raluca D. Gaina Sam Devlin Simon Lucas Diego Perez-Liebana 21 21 0 27 Mar 2020
A Local Approach to Forward Model Learning: Results on the Game of Life Game Simon Lucas Alexander Dockhorn Vanessa Volz Chris Bamford Raluca D. Gaina Ivan Bravi Diego Perez-Liebana Sanaz Mostaghim R. Kruse 24 17 0 29 Mar 2019
Game AI Research with Fast Planet Wars Variants Simon Lucas 17 13 0 22 Jun 2018