Conditions on Features for Temporal Difference-Like Methods to Converge. - Marcus Hutter; Samuel Yang-Zhao; Sultan Javed Majeed (IJCAI, 2019)

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

Factored Conditional Filtering: Tracking States and Estimating Parameters in High-Dimensional Spaces. - Dawei Chen; Samuel Yang-Zhao; John W. Lloyd; Kee Siong Ng (CoRR, 2022)

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

The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis. - Kee Siong Ng; Samuel Yang-Zhao; Timothy Cadogan-Cowper (CoRR, 2024)

Privacy Preserving Reinforcement Learning for Population Processes. - Samuel Yang-Zhao; Kee Siong Ng (Trans. Mach. Learn. Res., 2024)