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Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children

, , , and . 47th German Conference on Artificial Intelligence, volume to appear. of KI 2024, (2024)

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Uli-RL: A Real-World Deep Reinforcement Learning Pedagogical Agent for Children, , , and . 47th German Conference on Artificial Intelligence, volume to appear. of KI 2024, (2024)Prioritized Sampling with Intrinsic Motivation in Multi-Task Reinforcement Learning., and . IJCNN, page 1-8. IEEE, (2022)Estimating Maximum Expected Value through Gaussian Approximation., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1032-1040. JMLR.org, (2016)Exploration Driven by an Optimistic Bellman Equation., , , , and . IJCNN, page 1-8. IEEE, (2019)On the exploitation of uncertainty to improve Bellman updates and exploration in Reinforcement Learning.. Polytechnic University of Milan, Italy, (2019)Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems., , , and . AAAI, page 1840-1846. AAAI Press, (2017)Boosted Curriculum Reinforcement Learning., , , and . ICLR, OpenReview.net, (2022)Convex Regularization in Monte-Carlo Tree Search., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2365-2375. PMLR, (2021)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)