Reinforcement learning in robust markov decision processes SH Lim, H Xu, S Mannor Advances in Neural Information Processing Systems 26, 2013 | 130 | 2013 |
Explanation based learning GF DeJong Morgan Kaufman, 1986 | 84 | 1986 |
Heterogeneity and parsimony in intertemporal choice. M Regenwetter, DR Cavagnaro, A Popova, Y Guo, C Zwilling, SH Lim, ... Decision 5 (2), 63, 2018 | 73* | 2018 |
QTest: Quantitative testing of theories of binary choice. M Regenwetter, CP Davis-Stober, SH Lim, Y Guo, A Popova, C Zwilling, ... Decision 1 (1), 2, 2014 | 62* | 2014 |
Traffic engineering enhancement to QoS-OSPF in DiffServ and MPLS networks SH Lim, M Yaacob, KK Phang, TC Ling IEE Proceedings Communications 151 (1), 101-106, 2004 | 36 | 2004 |
Autonomous exploration for navigating in mdps SH Lim, P Auer Conference on Learning Theory, 40.1-40.24, 2012 | 29 | 2012 |
A deep ensemble method for multi-agent reinforcement learning: A case study on air traffic control S Ghosh, S Laguna, SH Lim, L Wynter, H Poonawala Proceedings of the International Conference on Automated Planning and …, 2021 | 28* | 2021 |
Kernel-based reinforcement learning in robust Markov decision processes SH Lim, A Autef International conference on machine learning, 3973-3981, 2019 | 27 | 2019 |
QTest 2.1: Quantitative testing of theories of binary choice using Bayesian inference CE Zwilling, DR Cavagnaro, M Regenwetter, SH Lim, B Fields, Y Zhang Journal of Mathematical Psychology 91, 176-194, 2019 | 19 | 2019 |
Weighted graph clustering with non-uniform uncertainties Y Chen, SH Lim, H Xu International Conference on Machine Learning, 1566-1574, 2014 | 18 | 2014 |
Explanation-Based Feature Construction. SH Lim, LL Wang, G DeJong IJCAI 7, 931-936, 2007 | 18 | 2007 |
Fed+: A family of fusion algorithms for federated learning P Yu, L Wynter, SH Lim arXiv preprint arXiv:2009.06303, 2020 | 17 | 2020 |
A convex optimization framework for bi-clustering SH Lim, Y Chen, H Xu International Conference on Machine Learning, 1679-1688, 2015 | 17 | 2015 |
MPA-IBM project SAFER: sense-making analytics for maritime event recognition G Yeo, SH Lim, L Wynter, H Hassan INFORMS Journal on Applied Analytics 49 (4), 269-280, 2019 | 16 | 2019 |
Distributional reinforcement learning for risk-sensitive policies SH Lim, I Malik Advances in Neural Information Processing Systems 35, 30977-30989, 2022 | 13 | 2022 |
Fed+: A unified approach to robust personalized federated learning P Yu, A Kundu, L Wynter, SH Lim arXiv preprint arXiv:2009.06303, 2020 | 12 | 2020 |
Robustness and personalization in federated learning: A unified approach via regularization A Kundu, P Yu, L Wynter, SH Lim 2022 IEEE International Conference on Edge Computing and Communications …, 2022 | 10 | 2022 |
Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters Q Sun, LL Wang, SH Lim, G DeJong International Journal of Document Analysis and Recognition (IJDAR) 10, 175-186, 2007 | 9 | 2007 |
Accurate mobile traffic information acquisition with minimal transmission cost and optional V2V extension YK Chia, SH Lim, L Wynter US Patent 9,843,500, 2017 | 7 | 2017 |
Clustering from labels and time-varying graphs SH Lim, Y Chen, H Xu Advances in Neural Information Processing Systems 27, 2014 | 6 | 2014 |