Lim, Shiau Hong

15 publications

NeurIPS 2022 Distributional Reinforcement Learning for Risk-Sensitive Policies Shiau Hong Lim, Ilyas Malik

UAI 2022 Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen

ICML 2022 Order Constraints in Optimal Transport Yu Chin Fabian Lim, Laura Wynter, Shiau Hong Lim

ICML 2019 Kernel-Based Reinforcement Learning in Robust Markov Decision Processes Shiau Hong Lim, Arnaud Autef

AISTATS 2018 Labeled Graph Clustering via Projected Gradient Descent Shiau Hong Lim, Gregory Calvez

JMLR 2017 Clustering from General Pairwise Observations with Applications to Time-Varying Graphs Shiau Hong Lim, Yudong Chen, Huan Xu

ICML 2015 A Convex Optimization Framework for Bi-Clustering Shiau Hong Lim, Yudong Chen, Huan Xu

NeurIPS 2014 Clustering from Labels and Time-Varying Graphs Shiau Hong Lim, Yudong Chen, Huan Xu

ICML 2014 Weighted Graph Clustering with Non-Uniform Uncertainties Yudong Chen, Shiau Hong Lim, Huan Xu

NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes Shiau Hong Lim, Huan Xu, Shie Mannor

COLT 2012 Autonomous Exploration for Navigating in MDPs Shiau Hong Lim, Peter Auer

ALT 2011 Models for Autonomously Motivated Exploration in Reinforcement Learning - (Extended Abstract) Peter Auer, Shiau Hong Lim, Chris Watkins

UAI 2011 Noisy Search with Comparative Feedback Shiau Hong Lim, Peter Auer

IJCAI 2007 Explanation-Based Feature Construction Shiau Hong Lim, Li-Lun Wang, Gerald DeJong

ECML-PKDD 2005 Towards Finite-Sample Convergence of Direct Reinforcement Learning Shiau Hong Lim, Gerald DeJong