Context-Triggered Contingency Games for Strategic Multi-Agent Interaction
Kilian Schweppe, Anne-Kathrin Schmuck

TL;DR
This paper introduces context-triggered contingency games, a novel framework combining strategic and dynamic models to enable reliable, safe, and adaptive multi-agent interactions in real-time environments.
Contribution
It presents a two-layered architecture with strategy templates and a factor-graph-based solver for scalable, real-time control in multi-agent systems.
Findings
Validated through simulations and hardware experiments
Demonstrated efficiency and reliability in autonomous driving and robotic navigation
Ensured safety and progress in uncertain environments
Abstract
We address the challenge of reliable and efficient interaction in autonomous multi-agent systems, where agents must balance long-term strategic objectives with short-term dynamic adaptation. We propose context-triggered contingency games, a novel integration of strategic games derived from temporal logic specifications with dynamic contingency games solved in real time. Our two-layered architecture leverages strategy templates to guarantee satisfaction of high-level objectives, while a new factor-graph-based solver enables scalable, real-time model predictive control of dynamic interactions. The resulting framework ensures both safety and progress in uncertain, interactive environments. We validate our approach through simulations and hardware experiments in autonomous driving and robotic navigation, demonstrating efficient, reliable, and adaptive multi-agent interaction.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
