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Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems.

, , , and . AAAI, page 1840-1846. AAAI Press, (2017)

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Estimating Maximum Expected Value through Gaussian Approximation., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1032-1040. JMLR.org, (2016)Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning., and . IJCNN, page 1-8. IEEE, (2022)Exploration Driven by an Optimistic Bellman Equation., , , , and . IJCNN, page 1-8. IEEE, (2019)Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts., , and . ICLR, OpenReview.net, (2024)Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts., , and . CoRR, (2023)Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning., , , , , and . ICRA, page 6672-6678. IEEE, (2021)Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning., , , , and . Robotics: Science and Systems, (2021)Exploiting structure and uncertainty of Bellman updates in Markov decision processes., , , , and . SSCI, page 1-8. IEEE, (2017)Convex Regularization in Monte-Carlo Tree Search., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2365-2375. PMLR, (2021)Boosted Curriculum Reinforcement Learning., , , and . ICLR, OpenReview.net, (2022)