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Human-Machine Collaborative Optimization via Apprenticeship Scheduling., , , , , , and . J. Artif. Intell. Res., (2018)Personalized Apprenticeship Learning from Heterogeneous Decision-Makers., , and . CoRR, (2019)Natural Language Specification of Reinforcement Learning Policies Through Differentiable Decision Trees., , , and . IEEE Robotics Autom. Lett., 8 (6): 3621-3628 (June 2023)Meta-Active Learning in Probabilistically Safe Optimization., , , , , and . IEEE Robotics Autom. Lett., 7 (4): 10713-10720 (2022)A Hierarchical Coordination Framework for Joint Perception-Action Tasks in Composite Robot Teams., , and . IEEE Trans. Robotics, 38 (1): 139-158 (2022)Meta-active Learning in Probabilistically-Safe Optimization., , , , , and . CoRR, (2020)Towards Reconciling Usability and Usefulness of Explainable AI Methodologies., and . CoRR, (2023)Interpretable Policy Specification and Synthesis through Natural Language and RL., , , and . CoRR, (2021)Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks., , , and . CoRR, (2023)Learning Interpretable, High-Performing Policies for Continuous Control Problems., , , , , and . CoRR, (2022)