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Tree-structured Policy Planning with Learned Behavior Models., , , , and . ICRA, page 7902-7908. IEEE, (2023)Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning., , and . ICRA, page 7786-7793. IEEE, (2023)Robotic load balancing for mobility-on-demand systems., , , and . Int. J. Robotics Res., 31 (7): 839-854 (2012)Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods., , , and . Int. J. Robotics Res., (2018)Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods., , and . Int. J. Robotics Res., 42 (6): 356-370 (May 2023)Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions., , , and . Int. J. Robotics Res., 34 (7): 883-921 (2015)Learning Deep SDF Maps Online for Robot Navigation and Exploration., , , and . CoRR, (2022)Near-Optimal Multi-Robot Motion Planning with Finite Sampling., , , and . CoRR, (2020)Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles., , , , and . CoRR, (2022)Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning., , , , , and . CoRR, (2023)