Appendix A Implementation Details
Further, using batching TD learning [32] yields state-of-the-art sample complexity O(1/? log(1/?)) in the discounted reward setting. For average reward ...
Improving deep neural network training with batch size and learning ...? batch size: commonly used: 64, also tried 1, 16, 32, 128. ? learning rate: initially at 0.01 + scheduler to decrease it dynamically. Reinforcement Learning - Amideast OnlineThe second column of Figure 1 compares the different values of m for LaBER-mean and a mini-batch size B = 32, on all MinAtar games. With a few exceptions, this ... Codec-ASR: Training Performant Automatic Speech Recognition ...We train our model with batch size of 32. We apply l2 regularization with term ? 10?4 and dropout (Srivastava et al.,. 2014) on the input word embedding ...
Autres Cours:
