1 citations · 2 across the 5 of their papers we have counts for
5 papers
Generalized Proof-Number Monte-Carlo Tree Search
Jakub Kowalski, Dennis J. N. J. Soemers, Szymon Kosakowski +1
This paper presents Generalized Proof-Number Monte-Carlo Tree Search: a generalization of recently proposed combinations of Proof-Number Search (PNS) with Monte-Carlo Tree Search (…
Towards Explaining Monte-Carlo Tree Search by Using Its Enhancements
Jakub Kowalski, Mark H. M. Winands, Maksymilian Wiśniewski +2
Typically, research on Explainable Artificial Intelligence (XAI) focuses on black-box models within the context of a general policy in a known, specific domain. This paper advocate…
Pathway: a fast and flexible unified stream data processing framework for analytical and Machine Learning applications
Michal Bartoszkiewicz, Jan Chorowski, Adrian Kosowski +8
We present Pathway, a new unified data processing framework that can run workloads on both bounded and unbounded data streams. The framework was created with the original motivatio…
Split Moves for Monte-Carlo Tree Search
Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik +3
In many games, moves consist of several decisions made by the player. These decisions can be viewed as separate moves, which is already a common practice in multi-action games for…
Simplified Boardgames
Jakub Kowalski, Jakub Sutowicz, Marek Szykuła
We formalize Simplified Boardgames language, which describes a subclass of arbitrary board games. The language structure is based on the regular expressions, which makes the rules…