39 citations · 52 across the 4 of their papers we have counts for
5 papers
Deep Learning and Artificial General Intelligence: Still a Long Way to Go
Maciej Świechowski
In recent years, deep learning using neural network architecture, i.e. deep neural networks, has been on the frontier of computer science research. It has even lead to superhuman p…
A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms
Maciej Świechowski
Crossover and mutation are the two main operators that lead to new solutions in evolutionary approaches. In this article, a new method of performing the crossover phase is presente…
Monte Carlo Tree Search: A Review of Recent Modifications and Applications
Maciej Świechowski, Konrad Godlewski, Bartosz Sawicki +1
Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-playing bots or solving sequential decision problems. The method relies on intelligent tree search that bala…
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms
Maciej Świechowski, Tomasz Tajmajer, Andrzej Janusz
We investigate the impact of supervised prediction models on the strength and efficiency of artificial agents that use the Monte-Carlo Tree Search (MCTS) algorithm to play a popula…
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge
Andrzej Janusz, Maciej Świechowski, Tomasz Tajmajer
This paper summarizes the AAIA'17 Data Mining Challenge: Helping AI to Play Hearthstone which was held between March 23, and May 15, 2017 at the Knowledge Pit platform. We briefly…