DQN Replay Dataset

The DQN Replay Dataset is a dataset used for reinforcement learning research, primarily recording the experience sequences of an agent interacting with its environment. The goal of this dataset is to optimize the learning process and improve the stability and efficiency of the algorithm by storing and reusing these experiences. In deep reinforcement learning, the DQN Replay Dataset can effectively alleviate the issue of sample correlation, enhancing the model's generalization ability, making it of significant application value.