Multi-Agent RL

2 papers across 2 sessions

Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems

#300 · H M Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff, Param Budhraja, Zijian Guo, Songyuan Zhang, Chuchu Fan, Christos G Cassandras, Wenchao Li

Poster Session 5

1 paper

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

HYPRL: Reinforcement Learning of Control Policies for Hyperproperties

#407 · Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour

A framework that synthesizes a tuple of optimal control policies for multi-agent systems that maximizes the probability of satisfying a desired hyperproperty.