no code implementations • 13 Jul 2023 • Hiroyasu Tsukamoto, Benjamin Rivière, Changrak Choi, Amir Rahmani, Soon-Jo Chung
First, in a nominal setting, the analytical form of our CaRT safety filter formally ensures safe maneuvers of nonlinear multi-agent systems, optimally with minimal deviation from the learning-based policy.
no code implementations • 5 May 2021 • Benjamin Rivière, Soon-Jo Chung
We present H-TD2: Hybrid Temporal Difference Learning for Taxi Dispatch, a model-free, adaptive decision-making algorithm to coordinate a large fleet of automated taxis in a dynamic urban environment to minimize expected customer waiting times.
1 code implementation • 26 Feb 2020 • Benjamin Rivière, Wolfgang Hoenig, Yisong Yue, Soon-Jo Chung
We present GLAS: Global-to-Local Autonomy Synthesis, a provably-safe, automated distributed policy generation for multi-robot motion planning.
Robotics