39 citations · 46 across the 4 of their papers we have counts for
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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.AI2021★ 39 cited
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…