7 citations · 10 across the 5 of their papers we have counts for
5 papers
Image Deraining via Self-supervised Reinforcement Learning
He-Hao Liao, Yan-Tsung Peng, Wen-Tao Chu +2
The quality of images captured outdoors is often affected by the weather. One factor that interferes with sight is rain, which can obstruct the view of observers and computer visio…
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs
Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete +1
We consider the infinite-horizon linear Markov Decision Processes (MDPs), where the transition probabilities of the dynamic model can be linearly parameterized with the help of a p…
Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
Kuo-Hao Ho, Ping-Chun Hsieh, Chiu-Chou Lin +3
In this paper, we propose a new approach called Adaptive Behavioral Costs in Reinforcement Learning (ABC-RL) for training a human-like agent with competitive strength. While deep r…
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay
Ping-Chun Hsieh, Xi Liu, Jian Jiao +3
The emerging connected-vehicle technology provides a new dimension in developing more intelligent traffic control algorithms for signalized intersections in networked transportatio…
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead
Ping-Chun Hsieh, I-Hong Hou, Xi Liu
We study the scheduling polices for asymptotically optimal delay in queueing systems with switching overhead. Such systems consist of a single server that serves multiple queues, a…