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Policy gradient approaches for multi-objective sequential decision making., , , , and . IJCNN, page 2323-2330. IEEE, (2014)Manifold-based multi-objective policy search with sample reuse., , and . Neurocomputing, (2017)Policy Search with High-Dimensional Context Variables., , , , , and . CoRR, (2016)Interesting Object, Curious Agent: Learning Task-Agnostic Exploration., , , and . NeurIPS, page 20516-20530. (2021)The Unsurprising Effectiveness of Pre-Trained Vision Models for Control., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 17359-17371. PMLR, (2022)Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters., , , , , , , , , and 2 other author(s). MeMeA, page 1-6. IEEE, (2020)Local-utopia policy selection for multi-objective reinforcement learning., , , and . SSCI, page 1-7. IEEE, (2016)Goal-driven dimensionality reduction for reinforcement learning., , and . IROS, page 4634-4639. IEEE, (2017)Policy gradient approaches for multi-objective sequential decision making: A comparison., , , , and . ADPRL, page 1-8. IEEE, (2014)Beyond Optimism: Exploration With Partially Observable Rewards., , and . CoRR, (2024)