Mahjong is a multi-player imperfect-information game with challenging features for AI
research. Sanma, being a 3-player variant of Japanese Riichi Mahjong, possesses unique …

Behaving efficiently and flexibly is crucial for biological and artificial embodied agents.
Behavior is generally classified into two types: habitual (fast but inflexible), and goal-directed …

This article proposes a novel Mahjong game model, LsAc∗‐MJ, designed to address
challenges posed by data scarcity, difficulty in leveraging contextual information, and the …

In games with stochastic outcomes, evaluating agent performance from limited data is
challenging. Results of Monte Carlo sampling do not provide a reliable indicator due to the …

How to behave efficiently and flexibly is a central problem for understanding biological
agents and creating intelligent embodied AI. It has been well known that behavior can be …

The thesis aims to advance cognitive decision-making and motor control using
reinforcement learning (RL) with stochastic recurrent neural networks (RNNs). RL is a …

論文抄録 麻雀において, プレイヤーの実力を表す指標である平均順位を求める際には,
複数の試合の結果を平均するモンテカルロ法が用いられる. この手法では結果の分散が大きく …