3 papers
cs.LG2025
Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
Zeyu Zhao, Yueling Che, Kaichen Liu +2
Multi-objective reinforcement learning (MORL) is a fundamental framework for real-world decision-making problems involving multiple conflicting criteria. Existing multi-policy (MP)…
eess.SY2025
Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization
Hossein Nejatbakhsh Esfahani, Kai Liu, Javad Mohammadpour Velni
This paper introduces a new approach that leverages Multi-agent Bayesian Optimization (MABO) to design Distributed Model Predictive Control (DMPC) schemes for multi-agent systems.…
cs.AI2024
ACQ: A Deployed Two-Stage Framework for Automated Creative Quota Allocation in Large-Scale Online Advertising
Ruizhi Wang, Yu Rong, Kai Liu +4
In digital advertising, demand-side platforms (DSPs) allow advertisers to create multiple ad creatives from a single photo for real-time bidding. While increasing the number of cre…