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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.LG2024★ 1 cited
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…
cs.LG2022
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems
Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima
Factorization machines (FMs) are a powerful tool for regression and classification in the context of sparse observations, that has been successfully applied to collaborative filter…