4 papers · 1 filter
DSLE: A Learning Environment for Dark Souls Boss Encounters
Derin Gezgin, Jim O'Connor, Tanner Goodwin +1
We introduce the Dark Souls Learning Environment (DSLE), a containerized platform that presents all 22 boss encounters of Dark Souls: Remastered as game-playing agent benchmarks th…
Evolutionary Transfer Learning for Dragonchess
Jim O'Connor, Annika Hoag, Sarah Goyette +1
Dragonchess, a three-dimensional chess variant introduced by Gary Gygax, presents unique strategic and computational challenges that make it an ideal environment for studying the t…
Learning Dark Souls Combat Through Pixel Input With Neuroevolution
Jim O'Connor, Gary B. Parker, Mustafa Bugti
This paper investigates the application of Neuroevolution of Augmenting Topologies (NEAT) to automate gameplay in Dark Souls, a notoriously challenging action role-playing game cha…
NeuroPAL: Punctuated Anytime Learning with Neuroevolution for Macromanagement in Starcraft: Brood War
Jim O'Connor, Yeonghun Lee, Gary B Parker
StarCraft: Brood War remains a challenging benchmark for artificial intelligence research, particularly in the domain of macromanagement, where long-term strategic planning is requ…