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Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences., , , and . IJCNN, page 1-9. IEEE, (2023)Semi-model-Based Reinforcement Learning in Organic Computing Systems., , and . ARCS, volume 13642 of Lecture Notes in Computer Science, page 241-255. Springer, (2022)Interpolation assisted deep reinforcement learning / Wenzel Baron Pilar von Pilchau ; Betreuer: Jörg Hähner.. University of Augsburg, Germany, (2024)An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems., , , , , , , , , and 2 other author(s). FedCSIS (Position Papers), volume 22 of Annals of Computer Science and Information Systems, page 53-57. (2020)Interpolated Experience Replay for Continuous Environments., , and . IJCCI, page 237-248. SCITEPRESS, (2022)Application of Uncertainty-Aware Sensor Fusion in Physical Sensor Networks., , , , , , , , , and 1 other author(s). I2MTC, page 1-6. IEEE, (2022)Averaging rewards as a first approach towards Interpolated Experience Replay.. GI-Jahrestagung (Workshops), volume P-295 of LNI, page 493-506. GI, (2019)Bootstrapping a DQN Replay Memory with Synthetic Experiences., , and . IJCCI, page 404-411. SCITEPRESS, (2020)