Pacman Environment

该数据集用于比较等变DDQN模型与普通DDQN模型在不同环境下的性能，特别关注了变换对模型效果的影响。此外，该数据集还提供了模型在部分可观测环境中的表现以及参数减少对模型性能的影响。研究任务主要集中在强化学习领域。

This dataset is designed to compare the performance of equivariant DDQN models and vanilla DDQN models across different environments, with a particular focus on the impact of transformations on model performance. Furthermore, this dataset also provides the performance of the models in partially observable environments, as well as the impact of parameter reduction on model performance. The research tasks primarily focus on the field of reinforcement learning.