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RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies., , , , and . IEEE Robotics Autom. Lett., 4 (4): 4298-4305 (2019)Preference-balancing motion planning under stochastic disturbances., , and . ICRA, page 3555-3562. IEEE, (2015)The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency., , , , , , , , , and . ACM Trans. Comput. Syst., 39 (1-4): 3:1-3:44 (2021)Visual Navigation Among Humans With Optimal Control as a Supervisor., , , and . IEEE Robotics Autom. Lett., 6 (2): 2288-2295 (2021)Reinforcement learning and planning for preference balancing tasks.. AI Matters, 1 (3): 8-12 (2015)Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration., , , , , , and . CoRR, (2022)Less is More: Generating Grounded Navigation Instructions from Landmarks., , , , , , , , , and . CoRR, (2021)Quantized Reinforcement Learning (QUARL)., , , , , and . CoRR, (2019)Adversarial Environment Generation for Learning to Navigate the Web., , , , , and . CoRR, (2021)Gender Diversity of Conference Leadership Women in Engineering., , , , and . IEEE Robotics Autom. Mag., 28 (2): 126-130 (2021)