Deep Reinforcement Learning With Respect to Neural Networks
RL WITH NEURAL NETWORKS The best way to train neural networks is to iteratively give them a batch of samples randomly sampled (i.i.d. in ideal) from a sufficient amount of input-output data pairs. As a nonlinear global function approximator, neural networks rapidly finds a way to mapping certain input with matched output during training. Once this intput-output matching is accomplished, the gene..
사색/인지과학적 사유
2021. 1. 25. 06:26
