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Hierarchical goals contextualize local reward decomposition explanations.

, , , , , and . Neural Comput. Appl., 35 (23): 16693-16704 (August 2023)

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A Stack-of-Tasks Approach Combined with Behavior Trees: a New Framework for Robot Control., , , , and . CoRR, (2022)Learning Extrinsic Dexterity with Parameterized Manipulation Primitives., , , and . CoRR, (2023)Transferring Knowledge for Reinforcement Learning in Contact-Rich Manipulation., , and . CoRR, (2022)Towards Task-Prioritized Policy Composition., , , and . CoRR, (2022)Null Space Based Efficient Reinforcement Learning with Hierarchical Safety Constraints., , and . ECMR, page 1-6. IEEE, (2021)Affordance detection for task-specific grasping using deep learning., , , and . Humanoids, page 91-98. IEEE, (2017)Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting., , , , , , and . CoRR, (2019)Variable Impedance Skill Learning for Contact-Rich Manipulation., , , , and . IEEE Robotics Autom. Lett., 7 (3): 8391-8398 (2022)Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics., , and . ICRA, page 1950-1957. IEEE, (2021)Learning Predictive State Representation for in-hand manipulation., , , and . ICRA, page 3207-3214. IEEE, (2015)