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 ...
Currently, all Velero CLI command examples are hardcoded with the string "velero" as the program name. This causes confusion and poor user experience when the binary is renamed or distributed under a ...
This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...
Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening, Pharmaceutical College, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, China Guangxi Key Laboratory of ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00103.
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 ...