Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. - Salar Rahili; Benjamin Rivière; Suzanne Olivier; Soon-Jo Chung (ICDM Workshops, 2018)

GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning With End-to-End Learning. - Benjamin Rivière; Wolfgang Hönig; Yisong Yue; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2020)

H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. - Benjamin Rivière; Soon-Jo Chung (CoRR, 2021)

Neural Tree Expansion for Multi-Robot Planning in Non-Cooperative Environments. - Benjamin Rivière; Wolfgang Hönig; Matthew Anderson; Soon-Jo Chung (IEEE Robotics Autom. Lett., 2021)

H-TD2: Hybrid Temporal Difference Learning for Adaptive Urban Taxi Dispatch. - Benjamin Rivière; Soon-Jo Chung (IEEE Trans. Intell. Transp. Syst., 2022)

CaRT: Certified Safety and Robust Tracking in Learning-Based Motion Planning for Multi-Agent Systems. - Hiroyasu Tsukamoto; Benjamin Rivière; Changrak Choi; Amir Rahmani; Soon-Jo Chung (CDC, 2023)

CART: Collision Avoidance and Robust Tracking Augmentation in Learning-based Motion Planning for Multi-Agent Systems. - Hiroyasu Tsukamoto; Benjamin Rivière; Changrak Choi; Amir Rahmani; Soon-Jo Chung (CoRR, 2023)

Joint-Space Multi-Robot Motion Planning with Learned Decentralized Heuristics. - Fengze Xie; Marcus Dominguez-Kuhne; Benjamin Rivière; Jialin Song; Wolfgang Hönig; Soon-Jo Chung; Yisong Yue (CoRR, 2023)

Model Predictive Trees: Sample-Efficient Receding Horizon Planning with Reusable Tree Search. - John Lathrop; Benjamin Rivière; Jedidiah Alindogan; Soon-Jo Chung (IROS, 2024)

Online tree-based planning for active spacecraft fault estimation and collision avoidance. - James Ragan; Benjamin Rivière; Fred Y. Hadaegh; Soon-Jo Chung (Sci. Robotics, 2024)

Monte Carlo tree search with spectral expansion for planning with dynamical systems. - Benjamin Rivière; John Lathrop; Soon-Jo Chung (Sci. Robotics, 2024)