Phillip Swazinna

According to our database, Phillip Swazinna authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Policy Regularization for Model-Based Offline Reinforcement Learning (Policy Regularisierung für Modellbasiertes Offline Reinforcement Learning)

Phillip Swazinna

PhD thesis, 2023

Learning Control Policies for Variable Objectives from Offline Data.

Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

User-Interactive Offline Reinforcement Learning.

Phillip Swazinna, Steffen Udluft, Thomas A. Runkler

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Automatic Trade-off Adaptation in Offline RL.

Phillip Swazinna, Steffen Udluft, Thomas A. Runkler

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning.

Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler

CoRR, 2022

2021

Overcoming model bias for robust offline deep reinforcement learning.

Phillip Swazinna, Steffen Udluft, Thomas A. Runkler

Eng. Appl. Artif. Intell., 2021

Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning.

Phillip Swazinna, Steffen Udluft, Thomas A. Runkler

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Behavior Constraining in Weight Space for Offline Reinforcement Learning.

Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021