PRIMER
perception-aware robust learning-based multiagent trajectory planner
PRIMER leverages the low computational requirements at deployment of neural networks and achieves a computation speed up to 5500 times faster than optimization-based approaches. It is trained with imitation learning using PARM* as the expert demonstrator.
