5 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.AI2023
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…
cs.AI2021★ 5 cited
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…
cs.LG2021★ 2 cited
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…