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Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response


Apr 29, 2021
Doseok Jang, Lucas Spangher, Manan Khattar, Utkarsha Agwan, Costas Spanos


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Towards Efficient Data Valuation Based on the Shapley Value


Feb 27, 2019
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gurel, Bo Li, Ce Zhang, Dawn Song, Costas Spanos


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One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy


Oct 23, 2018
Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas Spanos


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A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University


Sep 25, 2018
Ioannis C. Konstantakopoulos, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Costas Spanos

* 16 double pages, shorter version submitted to Applied Energy Journal 

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Inverse Reinforcement Learning via Deep Gaussian Process


May 04, 2017
Ming Jin, Andreas Damianou, Pieter Abbeel, Costas Spanos


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