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 ...
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: This letter studies the problem of prescribed-time stabilization for a class of uncertain nonlinear systems by adaptive dynamic programming. The results of this letter depend on the special ...
Select an option below to continue reading this premium story. Already a Honolulu Star-Advertiser subscriber? Log in now to continue reading. Mink is described as the “mother of Title IX who stood up ...
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 ...
Thank you for publishing the repository. I'm trying to reproduce the experiments and noticed that the role and prompts templates for the Programming Expert and the Programming Example Provider are ...
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