Identifying key patterns of tactics implemented by rival teams, and developing effective
responses, lies at the heart of modern football. However, doing so algorithmically remains …

Explainable reinforcement learning (XRL) methods aim to help elucidate agent policies and
decision-making processes. The majority of XRL approaches focus on local explanations …

Local, spatial state-action features can be used to effectively train linear policies from self-
play in a wide variety of board games. Such policies can play games directly, or be used to …

Teaching decisions need to be optimized to guide learners to stick to the right learning
method, and maintain learning interests. However, the existing evaluation systems for …

Online planning has been widely focused in many areas, such as industry chain and
collective intelligence. Due to the trade-off nature of trading computation time for solution …

One of the core challenges considered in the field of artificial intelligence research is the
development of algorithms and computer programs that can autonomously plan, make …

Аннотация В статье проанализированы публикации по применению инновационных
технических средств в керлинге. Поиск материалов (статей, рефератов, диссертаций …