11 citations · 17 across the 8 of their papers we have counts for
5 papers · 1 filter
A Non-linear Function-on-Function Model for Regression with Time Series Data
Qiyao Wang, Haiyan Wang, Chetan Gupta +2
In the last few decades, building regression models for non-scalar variables, including time series, text, image, and video, has attracted increasing interests of researchers from…
Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
Hamed Khorasgani, Haiyan Wang, Chetan Gupta
Dynamic dispatching aims to smartly allocate the right resources to the right place at the right time. Dynamic dispatching is one of the core problems for operations optimization i…
Spatio-Temporal Functional Neural Networks
Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang +2
Explosive growth in spatio-temporal data and its wide range of applications have attracted increasing interests of researchers in the statistical and machine learning fields. The s…
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Chi Zhang, Philip Odonkor, Shuai Zheng +3
Dynamic dispatching is one of the core problems for operation optimization in traditional industries such as mining, as it is about how to smartly allocate the right resources to t…
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control
Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas
A desirable property in fault-tolerant controllers is adaptability to system changes as they evolve during systems operations. An adaptive controller does not require optimal contr…