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1

artículo

Comparison of Expectimax and Monte Carlo algorithms in Solving the online 2048 game

Publicado por
Noa Yarasca, Efrain, Nguyen, khoi

Publicado 2018

In this work, two search algorithms Expectimax and Monte Carlo Tree Search (MCTS) were developed to solve the well-known “2048" puzzle online-game and compare their results. In both cases, five heuristics were employed to obtain favorable tile positions within the game. These heuristics were combined to maximize the game-score in all possible board positions. As a result, the game-score, the maximum value of tile obtained, and the computing time employed in solving the game are shown. In addition, the efficiency of each algorithm and its sub-cases are presented. This research concludes by arguing that Monte Carlo Tree Search was more efficient in higher score than Expectimax algorithm, although in a longer time. Increments in level of depth-search in Expectimax and number of moves in MCTS do not necessarily resulted in obtaining higher score.

2

artículo

Comparison of Expectimax and Monte Carlo algorithms in Solving the online 2048 game

Publicado por
Noa Yarasca, Efrain, Nguyen, khoi

Publicado 2018

Enlace

In this work, two search algorithms Expectimax and Monte Carlo Tree Search (MCTS) were developed to solve the well-known “2048" puzzle online-game and compare their results. In both cases, five heuristics were employed to obtain favorable tile positions within the game. These heuristics were combined to maximize the game-score in all possible board positions. As a result, the game-score, the maximum value of tile obtained, and the computing time employed in solving the game are shown. In addition, the efficiency of each algorithm and its sub-cases are presented. This research concludes by arguing that Monte Carlo Tree Search was more efficient in higher score than Expectimax algorithm, although in a longer time. Increments in level of depth-search in Expectimax and number of moves in MCTS do not necessarily resulted in obtaining higher score.

3

artículo

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

Publicado por
Kreibich, Heidi, Schröter, Kai, Di Baldassarre, Giuliano, Van Loon, Anne F., Mazzoleni, Maurizio, Wakbulcho Abeshu, Guta, Agafonova, Svetlana, AghaKouchak, Amir, Aksoy, Hafzullah, Alvarez-Garreton, Camila, Aznar, Blanca, Balkhi, Laila, Barendrecht, Marlies H., Biancamaria, Sylvain, Bos-Burgering, Liduin, Bradley, Chris, Budiyono, Yus, Buytaert, Wouter, Capewell, Lucinda, Carlson, Hayley, Cavus, Yonca, Couasnon, Anaïs, Coxon, Gemma, Daliakopoulos, Ioannis, de Ruiter, Marleen C., Delus, Claire, Erfurt, Mathilde, Esposito, Giuseppe, François, Didier, Frappart, Frédéric, Freer, Jim, Frolova, Natalia, Gain, Animesh K., Grillakis, Manolis, Oriol Grima, Jordi, Guzmán, Diego A., Huning, Laurie S., Ionita, Monica, Kharlamov, Maxim, Nguyen Khoi, Dao, Kieboom, Natalie, Kireeva, Maria, Koutroulis, Aristeidis, Lavado-Casimiro, W., Li, Hong-Yi, LLasat, Maria Carmen, Macdonald, David, Mård, Johanna, Mathew-Richards, Hannah, McKenzie, Andrew, Mejia, Alfonso, Mendiondo, Eduardo Mario, Mens, Marjolein, Mobini, Shifteh, Samprogna Mohor, Guilherme, Nagavciuc, Viorica, Ngo-Duc, Thanh, Thao Nguyen, Huynh Thi, Thao Nh, Pham Thi, Petrucci, Olga, Hong Quan, Nguyen, Quintana-Seguí, Pere, Razavi, Saman, Ridolf, Elena, Riegel, Jannik, Shibly Sadik, Md, Sairam, Nivedita, Savelli, Elisa, Sazonov, Alexey, Sharma, Sanjib, Sörensen, Johanna, Arguello Souza, Felipe Augusto, Stahl, Kerstin, Steinhausen, Max, Stoelzle, Michael, Szalinska, Wiwiana, Tang, Qiuhong, Tian, Fuqiang, Tokarczyk, Tamara, Tovar, Carolina, Thu Tran, Thi Van, van Huijgevoort, Marjolein H. J., van Vliet, Michelle T. H., Vorogushyn, Sergiy, Wagener, Thorsten, Wang, Yueling, Wendt, Doris E., Wickham, Elliot, Yang, Long, Zambrano-Bigiarini, Mauricio, Ward, Philip J.

Publicado 2023

Enlace

As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions, and feedbacks in complex human–water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed and in the quantity of socio-hydrological data. The benchmark dataset comprises (1) detailed rev...