Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
1 Department of Statistics and Mathematics, Bindura University of Science Education, Bindura, Zimbabwe 2 Department of Mathematics, University of Botswana, Gaborone, Botswana This study develops a ...
Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...
Abstract: In this paper, a distributed adaptive dynamic programming (ADP) framework based on value iteration is proposed for multi-player differential games. In the game setting, players have no ...
1 State Grid Jiangxi Electric Power Co., Ltd., Nanchang, China 2 State Key Laboratory of Advanced Electromagnetic Technology, Huazhong University of Science and Technology, Wuhan, China Large-scale ...
ABSTRACT: Markov modeling of HIV/AIDS progression was done under the assumption that the state holding time (waiting time) had a constant hazard. This paper discusses the properties of the hazard ...
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