Table 3 presents the details of datasets in HoK1v1 task. Spells set to frenzy . Generally, a level of "1" is used for datasets with the "norm" prefix, while a level This distinction indicates varying levels of difficulty. In the Generalization category, "norm_general" and "hard_general," have their corresponding datasets. For example, to sample the "norm_general" dataset, we let the level-1 model fight with level-0, level-542 For example, in the "norm_hero_general" experiment, we directly use the model trained on "norm_medium" dataset only contains the fixed default hero "luban."

New deep learning-based approaches further improve the quality of synthetic textures.

Large language models (LLMs) have recently demonstrated great success in generating and understanding natural language. While they have also shown potential beyond the domain of natural language, it remains an open question as to what extent and in which way these LLMs can plan.