Ng, Kee Siong

8 publications

AAAI 2024 Dynamic Knowledge Injection for AIXI Agents Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

TMLR 2024 Privacy Preserving Reinforcement Learning for Population Processes Samuel Yang-Zhao, Kee Siong Ng

UAI 2023 Split, Count, and Share: A Differentially Private Set Intersection Cardinality Estimation Protocol Michael Purcell, Yang Li, Kee Siong Ng

NeurIPS 2022 A Direct Approximation of AIXI Using Logical State Abstractions Samuel Yang-Zhao, Tianyu Wang, Kee Siong Ng

ECCV 2022 Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition Tianyu Wang, Miaomiao Liu, Kee Siong Ng

JAIR 2011 A Monte-Carlo AIXI Approximation Joel Veness, Kee Siong Ng, Marcus Hutter, William T. B. Uther, David Silver

AAAI 2010 Reinforcement Learning via AIXI Approximation Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver

ECML-PKDD 2006 (Agnostic) PAC Learning Concepts in Higher-Order Logic Kee Siong Ng