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2020 – today
- 2024
[i9]Amna Najib, Stefan Depeweg, Phillip Swazinna:
Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search. CoRR abs/2411.09722 (2024)- [i8]Batikan Bora Ormanci, Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning. CoRR abs/2411.19133 (2024) - 2023
- [b1]Phillip Swazinna:
Policy Regularization for Model-Based Offline Reinforcement Learning (Policy Regularisierung für Modellbasiertes Offline Reinforcement Learning). Technical University of Munich, Germany, 2023 - [c5]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Automatic Trade-off Adaptation in Offline RL. ESANN 2023 - [c4]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
User-Interactive Offline Reinforcement Learning. ICLR 2023 - [c3]Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing:
Learning Control Policies for Variable Objectives from Offline Data. SSCI 2023: 1674-1681 - [i7]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Automatic Trade-off Adaptation in Offline RL. CoRR abs/2306.09744 (2023) - [i6]Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing:
Learning Control Policies for Variable Objectives from Offline Data. CoRR abs/2308.06127 (2023) - 2022
- [i5]Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. CoRR abs/2201.05433 (2022) - [i4]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
User-Interactive Offline Reinforcement Learning. CoRR abs/2205.10629 (2022) - 2021
- [j1]Phillip Swazinna
, Steffen Udluft, Thomas A. Runkler:
Overcoming model bias for robust offline deep reinforcement learning. Eng. Appl. Artif. Intell. 104: 104366 (2021) - [c2]Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Behavior Constraining in Weight Space for Offline Reinforcement Learning. ESANN 2021 - [c1]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. SSCI 2021: 1-8 - [i3]Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler:
Behavior Constraining in Weight Space for Offline Reinforcement Learning. CoRR abs/2107.05479 (2021) - [i2]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. CoRR abs/2111.13461 (2021) - 2020
- [i1]Phillip Swazinna, Steffen Udluft, Thomas A. Runkler:
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning. CoRR abs/2008.05533 (2020)
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