Phillip Swazinna

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Function Approximation

Reinforcement Learning

Top Venues

Eng. Appl. Artif. Intell.

Publications

Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Automatic Trade-off Adaptation in Offline RL. CoRR (2023)
Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing
Learning Control Policies for Variable Objectives from Offline Data. SSCI (2023)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
User-Interactive Offline Reinforcement Learning. ICLR (2023)
Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing
Learning Control Policies for Variable Objectives from Offline Data. CoRR (2023)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Automatic Trade-off Adaptation in Offline RL. ESANN (2023)
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. CoRR (2022)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
User-Interactive Offline Reinforcement Learning. CoRR (2022)
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
Behavior Constraining in Weight Space for Offline Reinforcement Learning. ESANN (2021)
Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
Behavior Constraining in Weight Space for Offline Reinforcement Learning. CoRR (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Overcoming model bias for robust offline deep reinforcement learning. Eng. Appl. Artif. Intell. 104 (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. SSCI (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. CoRR (2021)
Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning. CoRR (2020)