boop. game results

该数据集包含了100场游戏的对比结果，展示了mcts-co智能体与vanilla mcts智能体以及其他基准智能体的性能表现。此外，结果中还包含了与包括mcts-co智能体、vanilla mcts智能体和启发式智能体在内的多种智能体对抗的胜率，这证明了组合优化在提升蒙特卡洛树搜索（MCTS）有效性方面的作用。该数据集的规模为100场游戏，任务是对游戏人工智能性能进行评估。

This dataset contains comparison results from 100 game matches, which demonstrate the performance of the MCTS-CO agent, vanilla MCTS agent, and other baseline agents. Furthermore, the results include win rates against multiple agents including MCTS-CO, vanilla MCTS, and heuristic agents, thereby verifying the efficacy of combinatorial optimization in enhancing the effectiveness of Monte Carlo Tree Search (MCTS). Comprising 100 game matches, this dataset is designed for evaluating the performance of game-playing artificial intelligence.