Liang Yan

AVAE: Adversarial Neural Network for Self-representation in One Class Classification

2019

To address the bottleneck of machine learning algorithms in one class classification(OCC), we present an end-to-end deep learning model for OCC. The basic idea is that our model is divided into two parts, reconstructor and …

Toward Obstacle Avoidance for Mobile Robots Using Deep Reinforcement Learning Algorithm

2021

The state-of-the-art deep reinforcement learning algorithm, i.e., the deep deterministic policy gradient (DDPG), has achieved good performance in continuous control problems for the robotics. However, the conventional experience replay mechanism of the DDPG algorithm stores …