Wenzel Baron Pilar von Pilchau

Orcid: 0000-0001-9307-855X

According to our database1, Wenzel Baron Pilar von Pilchau authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Interpolation assisted deep reinforcement learning / Wenzel Baron Pilar von Pilchau ; Betreuer: Jörg Hähner.
PhD thesis, 2024

2023
Deep Q-Network Updates for the Full Action-Space Utilizing Synthetic Experiences.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Interpolated Experience Replay for Continuous Environments.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Application of Uncertainty-Aware Sensor Fusion in Physical Sensor Networks.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Semi-model-Based Reinforcement Learning in Organic Computing Systems.
Proceedings of the Architecture of Computing Systems - 35th International Conference, 2022

2021
Synthetic Experiences for Accelerating DQN Performance in Discrete Non-Deterministic Environments.
Algorithms, 2021

2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems.
Proceedings of the Position Papers of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019
Averaging rewards as a first approach towards Interpolated Experience Replay.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019


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