12 citations · 33 across the 12 of their papers we have counts for
12 papers · 1 filter
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata +2
This paper proposes a multi-agent reinforcement learning (MARL) approach to learn dynamic dispatching strategies, which is crucial for optimizing throughput in material handling sy…
Predictive Analysis for Optimizing Port Operations
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
Maritime transport is a pivotal logistics mode for the long-distance and bulk transportation of goods. However, the intricate planning involved in this mode is often hindered by un…
A Functional approach for Two Way Dimension Reduction in Time Series
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
The rise in data has led to the need for dimension reduction techniques, especially in the area of non-scalar variables, including time series, natural language processing, and com…
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control
Takuya Kanazawa, Haiyan Wang, Chetan Gupta
Uncertainty quantification is one of the central challenges for machine learning in real-world applications. In reinforcement learning, an agent confronts two kinds of uncertainty,…
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents
Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang +1
Traditionally, the performance of multi-agent deep reinforcement learning algorithms are demonstrated and validated in gaming environments where we often have a fixed number of age…
An Offline Deep Reinforcement Learning for Maintenance Decision-Making
Hamed Khorasgani, Haiyan Wang, Chetan Gupta +1
Several machine learning and deep learning frameworks have been proposed to solve remaining useful life estimation and failure prediction problems in recent years. Having access to…