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A Model-Free Approach to Meta-Level Control of Anytime Algorithms., , and . ICRA, page 11436-11442. IEEE, (2020)Metareasoning for Safe Decision Making in Autonomous Systems., , , and . ICRA, page 11073-11079. IEEE, (2022)Formal Composition of Robotic Systems as Contract Programs., , , , and . IROS, page 6727-6732. (2023)On the Benefits of Randomly Adjusting Anytime Weighted A., , and . SOCS, page 116-120. AAAI Press, (2021)Learning to Optimize Autonomy in Competence-Aware Systems., , , , , and . AAMAS, page 123-131. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Stimulus-response tests: An applied demonstration: Demonstration paper., and . RCIS, page 1-2. IEEE, (2013)Meta-Level Control of Anytime Algorithms with Online Performance Prediction., , and . IJCAI, page 1499-1505. ijcai.org, (2018)Solving Markov Decision Processes with Partial State Abstractions., , , , , and . ICRA, page 813-819. IEEE, (2021)Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities., , and . CoRR, (2023)Active teacher selection for reinforcement learning from human feedback., , , and . CoRR, (2023)