Large Language Model (LLM)-based optimization has recently shown promise for autonomous problem solving, yet most approaches still cast LLMs as passive constraint checkers rather than proactive ...
Sequential optimality conditions for constrained optimization are necessarily satisfied by local minimizers, independently of the fulfillment of constraint qualifications. These conditions support the ...
Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...
Abstract: To realize repetitive motion planning (RMP) for redundant robot manipulators in the presence of initial shifts, this paper introduces an initial-rectifying-constraint optimization scheme ...
Two papers from the Constraint Reasoning and Optimization group will be presented in July 2018 at IJCAI-ECAI 2018, the 27th International Joint Conference on Artificial Intelligence and the 23rd ...
This project involves designing and developing an intelligent, automated scheduling tool that can generate optimized work schedules for Peer Teaching Assistants (TAs) in the University of Cincinnati’s ...
Constraint Reasoning and Optimization Group is offering summer internships to MSc and BSc level students, providing a hands-on experience to forefront research in the group. The Constraint Reasoning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback