5 papers
CTBench: Evaluating Troubleshooting Capabilities of AI Agents in Realistic Telecom Network Operations
Xingyu Yan, Tingting Dai, Antonio De Domenico +16
Agents are increasingly considered for automating network operations and maintenance, where engineers must diagnose network faults, optimize configurations to enhance services, and…
AI Native Games: A Survey and Roadmap
Zhiyue Xu, Fandi Meng, Kaijie Xu +3
Generative AI now enables games to produce dialogue, quests, characters, images, and worlds at runtime. Yet generation alone does not make a game AI-native, nor does it guarantee p…
JSON-Bag: A generic game trajectory representation
Dien Nguyen, Diego Perez-Liebana, Simon Lucas
We introduce JSON Bag-of-Tokens model (JSON-Bag) as a method to generically represent game trajectories by tokenizing their JSON descriptions and apply Jensen-Shannon distance (JSD…
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…
Seeding for Success: Skill and Stochasticity in Tabletop Games
James Goodman, Diego Perez-Liebana, Simon Lucas
Games often incorporate random elements in the form of dice or shuffled card decks. This randomness is a key contributor to the player experience and the variety of game situations…