Search Results - subject:"Monte Carlo Tree Search"

Data-driven dynamic police patrolling : an efficient Monte Carlo tree search

Tschernutter, Daniel; Feuerriegel, Stefan - In: European journal of operational research : EJOR 321 (2025) 1, pp. 177-191

Persistent link: https://www.econbiz.de/10015094945

Bayesian rationality with subjective evaluations in enlivened decision trees

Hammond, Peter J. - 2024

Persistent link: https://www.econbiz.de/10015085452

Collaborative cost multi-agent decision-making algorithm with Factored-Value Monte Carlo Tree Search and Max-Plus

Alexander-Reindorf, Nii-Emil; Cotae, Paul - In: Games 14 (2023) 6, pp. 1-19

actions with the lowest cost using the Monte Carlo Tree Search (MCTS) algorithm. Each agent’s most promising activities are …

Persistent link: https://www.econbiz.de/10014443307

Robust data sampling in machine learning : a game-theoretic framework for training and validation data selection

Mo, Zhaobin; Di, Xuan; Shi, Rongye - In: Games 14 (2023) 1, pp. 1-13

How to sample training/validation data is an important question for machine learning models, especially when the dataset is heterogeneous and skewed. In this paper, we propose a data sampling method that robustly selects training/validation data. We formulate the training/validation data...

Persistent link: https://www.econbiz.de/10014420298

Matching and Scheduling of Student-Company-Talks for a University IT-Speed Dating Event

Ackermann, Christian; Hahne, Felix; Rieck, Julia - In: Operations Research Forum 3 (2022) 3

method. Second, we present two approaches to solve the scheduling problem. A Monte Carlo tree search procedure generates time …

Persistent link: https://www.econbiz.de/10015114857

Matching and scheduling of student-company-talks for a university IT-speed dating event

Ackermann, Christian; Hahne, Felix; Rieck, Julia - In: Operations research forum 3 (2022) 3, pp. 1-29

Persistent link: https://www.econbiz.de/10013461852

Artificial intelligence-based inventory management: a Monte Carlo tree search approach

Preil, Deniz; Krapp, Michael - In: Annals of Operations Research 308 (2021) 1-2, pp. 415-439

intelligence (AI), namely, Monte Carlo tree search (MCTS). To the best of our knowledge, MCTS has neither been applied to supply …

Persistent link: https://www.econbiz.de/10014501419

Solving Games and All That

Saffidine, Abdallah - Université Paris-Dauphine (Paris IX) - 2013

algorithms such as Proof Number Search, Monte Carlo Tree Search, and the Product Propagation algorithm.We then show how a similar …

Persistent link: https://www.econbiz.de/10011171633

Alpha-Beta Pruning for Games with Simultaneous Moves

Buro, Michael; Finnsson, Hilmar; Saffidine, Abdallah - Université Paris-Dauphine (Paris IX) - 2012

Alpha-Beta pruning is one of the most powerful and fundamental MiniMax search improvements. It was designed for sequential two-player zero-sum perfect information games. In this paper we introduce an Alpha-Beta-like sound pruning method for the more general class of “stacked matrix games”...

Persistent link: https://www.econbiz.de/10011072381