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Two-Step Reinforcement Learning for Multistage Strategy Card Game
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 (LOTRCG)," a complex multistage strategy card game.
Optimisation of MCTS Player for The Lord of the Rings: The Card Game
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".
MCTS Based Agents for Multistage Single-Player Card Game
The research covered an agent based on expert rules, using flat Monte-Carlo search, as well as complete MCTS-UCB.
Monte Carlo Tree Search: A Review of Recent Modifications and Applications
Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-playing bots or solving sequential decision problems.
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