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Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule Propagation.

, , , and . CoRR, (2023)

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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)Meta-active Learning in Probabilistically-Safe Optimization., , , , , and . CoRR, (2020)Towards Reconciling Usability and Usefulness of Explainable AI Methodologies., and . CoRR, (2023)Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks., , , and . CoRR, (2023)Interpretable Policy Specification and Synthesis through Natural Language and RL., , , and . CoRR, (2021)Learning Interpretable, High-Performing Policies for Continuous Control Problems., , , , , and . CoRR, (2022)Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis., , , , , and . CoRR, (2022)