The mission of the EMERGE lab is to make it easy and efficient to develop capable, safe, and intelligent multi-agent systems
through learning, simulation, and data. We emphasive
use-inspired basic research where we draw
inspiration as to what research is needed from specific problems in multi-agent autonomy and transportation.
Right now some key interests are:
- Autonomous validation: how can we create closed loop validation systems that continually find and fix agent failures.
- Building human-like agent models to improve our simulation and safety capabilities.
- Scaling up MARL with GPU-based simulators.
In the past we have:
- Built traffic-smoothing cruise controllers that were deployed at scale in field testing.
- Showed that simple MARL algorithms scale very nicely.
- Built fast simulators for autonomous driving and traffic control.
