3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
Xinyi Xu, Tiancheng Huang, Pengfei Wei +2
This work is inspired by recent advances in hierarchical reinforcement learning (HRL) (Barto and Mahadevan 2003; Hengst 2010), and improvements in learning efficiency from heuristi…
Representation Requirements for Supporting Decision Model Formulation
Tze-Yun Leong
This paper outlines a methodology for analyzing the representational support for knowledge-based decision-modeling in a broad domain. A relevant set of inference patterns and knowl…
Representing Context-Sensitive Knowledge in a Network Formalism: A Preliminary Report
Tze-Yun Leong
Automated decision making is often complicated by the complexity of the knowledge involved. Much of this complexity arises from the context sensitive variations of the underlying p…
Causal Mechanism-based Model Construction
Tsai-Ching Lu, Marek J. Druzdzel, Tze-Yun Leong
We propose a framework for building graphical causal model that is based on the concept of causal mechanisms. Causal models are intuitive for human users and, more importantly, sup…