Research on Strategies for Tripeaks Variant with Various Layouts.

A Tripeaks variant game, derived from the classic card game Tripeaks, is gaining popularity among players. In order to evaluate the difficulty of Tripeaks variant games and assist in level design, this paper investigates the playing strategies for Tripeaks variant games. Firstly, three heuristic strategies based on player experience are proposed. Then, reinforcement learning agents are trained and tested on different datasets to evaluate their generalization performance. The experiments demonstrate that Tripeaks variant games have a high degree of randomness and also possess certain strategies. The reinforcement learning agents have some generalization ability, but cannot handle the rich layouts of Tripeaks variant games. Heuristic strategies have stable and efficient performance, and are more suitable for difficulty detection and level design assistance in Tripeaks variant games.