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11/11/2021
Adapting Surprise Minimizing Reinforcement Learning Techniques for Transactive Control
Optimizing prices for energy demand response requires a flexible control...
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08/14/2021
Offline-Online Reinforcement Learning for Energy Pricing in Office Demand Response: Lowering Energy and Data Costs
Our team is proposing to run a full-scale energy demand response experim...
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04/29/2021
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response
Our team is proposing to run a full-scale energy demand response experim...
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01/09/2020
smartSDH: A Mechanism Design Approach to Building Control
As Internet of Things (IoT) technologies are increasingly being deployed...
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02/27/2019
Towards Efficient Data Valuation Based on the Shapley Value
"How much is my data worth?" is an increasingly common question posed by...
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10/23/2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy
Despite the great success achieved in machine learning (ML), adversarial...
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09/13/2018
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University
The implementation of smart building technology in the form of smart inf...
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12/26/2015
