DeepQNetwork中的Memory_size和memory_counter

Question

什么是DeepQNetwork中的memory_size和memory_counter：

class DeepQNetwork:
def __init__(
        self,
        n_actions,
        n_features,
        learning_rate=0.01,              
        reward_decay=0.9,
        e_greedy=0.9,                     
        replace_target_iter=300,          
        memory_size=500,                  
        batch_size=32,                    
        e_greedy_increment=None,
        output_graph=True,
        memory_counter=48    
):

Answer 1

memory_size是存储所有经验的记忆，memory_counter是用于学习的随机小批记忆。Ps:查看代码行144