39 citations · 46 across the 5 of their papers we have counts for
5 papers
Qualitative Evaluation of LLM-Designed GUI
Bartosz Sawicki, Tomasz Les, Dariusz Parzych +3
As generative artificial intelligence advances, Large Language Models (LLMs) are being explored for automated graphical user interface (GUI) design. This study investigates the usa…
Two-Step Reinforcement Learning for Multistage Strategy Card Game
Konrad Godlewski, Bartosz Sawicki
In the realm of artificial intelligence and card games, this study introduces a two-step reinforcement learning (RL) strategy tailored for "The Lord of the Rings: The Card Game (LO…
MCTS Based Agents for Multistage Single-Player Card Game
Konrad Godlewski, Bartosz Sawicki
The article presents the use of Monte Carlo Tree Search algorithms for the card game Lord of the Rings. The main challenge was the complexity of the game mechanics, in which each r…
Optimisation of MCTS Player for The Lord of the Rings: The Card Game
Konrad Godlewski, Bartosz Sawicki
The article presents research on the use of Monte-Carlo Tree Search (MCTS) methods to create an artificial player for the popular card game "The Lord of the Rings". The game is cha…
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…