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Wenzel Baron Pilar von Pilchau
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2020 – today
- 2024
- [b1]Wenzel Pilar von Pilchau:
Interpolation assisted deep reinforcement learning / Wenzel Baron Pilar von Pilchau ; Betreuer: Jörg Hähner. University of Augsburg, Germany, 2024 - 2023
- [c7]Wenzel Pilar von Pilchau, David Pätzel, Anthony Stein, Jörg Hähner:
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences. IJCNN 2023: 1-9 - 2022
- [c6]Wenzel Pilar von Pilchau
, Anthony Stein
Semi-model-Based Reinforcement Learning in Organic Computing Systems. ARCS 2022: 241-255 - [c5]Maximilian Gruber, Wenzel Pilar von Pilchau, Varun Gowtham, Nikolaos-Stefanos Koutrakis, Nicolas Schönborn, Sascha Eichstädt, Jörg Hähner
Application of Uncertainty-Aware Sensor Fusion in Physical Sensor Networks. I2MTC 2022: 1-6 - [c4]Wenzel Pilar von Pilchau, Anthony Stein, Jörg Hähner
Interpolated Experience Replay for Continuous Environments. IJCCI 2022: 237-248 - 2021
- [j1]Wenzel Pilar von Pilchau
Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments. Algorithms 14(8): 226 (2021) - 2020
- [c3]Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems. FedCSIS (Position Papers) 2020: 53-57 - [c2]Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
Bootstrapping a DQN Replay Memory with Synthetic Experiences. IJCCI 2020: 404-411 - [i2]Wenzel Baron Pilar von Pilchau
Bootstrapping a DQN Replay Memory with Synthetic Experiences. CoRR abs/2002.01370 (2020) - [i1]Wenzel Pilar von Pilchau
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems. CoRR abs/2008.07282 (2020)
2010 – 2019
- 2019
- [c1]Wenzel Pilar von Pilchau:
Averaging rewards as a first approach towards Interpolated Experience Replay. GI-Jahrestagung (Workshops) 2019: 493-506
Coauthor Index
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