3 papers
cs.LG2026
Predicting Drafted Deck Strength for "Magic: the Gathering"
Tomas Rigaux, Hisashi Kashima
Many real-world games do not admit a fixed, compact rule set: instead, their dynamics are defined by interactions among a large and often evolving collection of game pieces, making…
cs.IR2026
Adaptive Quality-Diversity Trade-offs for Large-Scale Batch Recommendation
Clémence Réda, Tomas Rigaux, Hiba Bederina +3
A core research question in recommender systems is to propose batches of highly relevant and diverse items, that is, items personalized to the user's preferences, but which also mi…
cs.LG2024
Enhancing Chess Reinforcement Learning with Graph Representation
Tomas Rigaux, Hisashi Kashima
Mastering games is a hard task, as games can be extremely complex, and still fundamentally different in structure from one another. While the AlphaZero algorithm has demonstrated a…