3 papers
cs.LG2026
Symbol-Equivariant Recurrent Reasoning Models
Richard Freinschlag, Timo Bertram, Erich Kobler +2
Reasoning problems such as Sudoku and ARC-AGI remain challenging for neural networks. The structured problem solving architecture family of Recurrent Reasoning Models (RRMs), inclu…
cs.AI2025
UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Games
Timo Bertram
Collectible card games (CCGs) are a difficult genre for AI due to their partial observability, long-term decision-making, and evolving card sets. Due to this, current AI models per…
cs.HC2025
Deceptive Game Design? Investigating the Impact of Visual Card Style on Player Perception
Leonie Kallabis, Timo Bertram, Florian Rupp
The visual style of game elements considerably contributes to the overall experience. Aesthetics influence player appeal, while the abilities of game pieces define their in-game fu…