12 citations · 20 across the 4 of their papers we have counts for
4 papers
Smart Train Operation Algorithms based on Expert Knowledge and Reinforcement Learning
Kaichen Zhou, Shiji Song, Anke Xue +2
During recent decades, the automatic train operation (ATO) system has been gradually adopted in many subway systems for its low-cost and intelligence. This paper proposes two smart…
A selected review on reinforcement learning based control for autonomous underwater vehicles
Yachu Hsu, Hui Wu, Keyou You +1
Recently, reinforcement learning (RL) has been extensively studied and achieved promising results in a wide range of control tasks. Meanwhile, autonomous underwater vehicle (AUV) i…
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Hui Wu +3
Model-free deep reinforcement learning (RL) algorithms have been widely used for a range of complex control tasks. However, slow convergence and sample inefficiency remain challeng…
Depth Control of Model-Free AUVs via Reinforcement Learning
Hui Wu, Shiji Song, Keyou You +1
In this paper, we consider depth control problems of an autonomous underwater vehicle (AUV) for tracking the desired depth trajectories. Due to the unknown dynamical model of the A…