3 papers
cs.LG2025
Play Style Identification Using Low-Level Representations of Play Traces in MicroRTS
Ruizhe Yu Xia, Jeremy Gow, Simon Lucas
Play style identification can provide valuable game design insights and enable adaptive experiences, with the potential to improve game playing agents. Previous work relies on doma…
cs.AI2024
Evaluating Environments Using Exploratory Agents
Bobby Khaleque, Mike Cook, Jeremy Gow
Exploration is a key part of many video games. We investigate the using an exploratory agent to provide feedback on the design of procedurally generated game levels, 5 engaging lev…
cs.AI2024
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents
Dominik Jeurissen, Diego Perez-Liebana, Jeremy Gow +2
Large Language Models (LLMs) have shown great success as high-level planners for zero-shot game-playing agents. However, these agents are primarily evaluated on Minecraft, where lo…