Conference paper
Loss rates in large loss systems with subexponential demands
Yingdong Lu, Ana Radovanovic
Allerton 2006
For many years, reinforcement learning (RL) has proven to be very successful in solving a wide variety of learning and decision making under uncertainty (DMuU) problems, including those related to game playing and robotic control. Many different RL approaches, with varying levels of success, have been developed to address these problems.
Yingdong Lu, Ana Radovanovic
Allerton 2006
Aliza R. Heching, Mark S. Squillante
Performance Evaluation
Yingdong Lu
Naval Research Logistics
David A. Goldberg, Dmitriy A. Katz, et al.
IFIP WG 7.3 Performance 2014