3 citations · 5 across the 4 of their papers we have counts for
4 papers
Recursive Least Squares Advantage Actor-Critic Algorithms
Yuan Wang, Chunyuan Zhang, Tianzong Yu +1
As an important algorithm in deep reinforcement learning, advantage actor critic (A2C) has been widely succeeded in both discrete and continuous control tasks with raw pixel inputs…
Recursive Least Squares for Training and Pruning Convolutional Neural Networks
Tianzong Yu, Chunyuan Zhang, Yuan Wang +2
Convolutional neural networks (CNNs) have succeeded in many practical applications. However, their high computation and storage requirements often make them difficult to deploy on…
Recursive Least Squares Policy Control with Echo State Network
Chunyuan Zhang, Chao Liu, Qi Song +1
The echo state network (ESN) is a special type of recurrent neural networks for processing the time-series dataset. However, limited by the strong correlation among sequential samp…
Revisiting Recursive Least Squares for Training Deep Neural Networks
Chunyuan Zhang, Qi Song, Hui Zhou +3
Recursive least squares (RLS) algorithms were once widely used for training small-scale neural networks, due to their fast convergence. However, previous RLS algorithms are unsuita…