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09/28/2021
Deep Reinforcement Learning with Adjustments
Deep reinforcement learning (RL) algorithms can learn complex policies t...
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08/24/2020
Dynamic Dispatching for Large-Scale Heterogeneous Fleet via Multi-agent Deep Reinforcement Learning
Dynamic dispatching is one of the core problems for operation optimizati...
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12/21/2019
Regularized Operating Envelope with Interpretability and Implementability Constraints
Operating envelope is an important concept in industrial operations. Acc...
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10/04/2019
Manufacturing Dispatching using Reinforcement and Transfer Learning
Efficient dispatching rule in manufacturing industry is key to ensure pr...
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04/12/2019