Phillip Swazinna

19 papers A* 1B 2Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications. EMNLP (Industry Track) Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos, Phillip Swazinna, Miguel A. del Agua, Jérôme Tremblay, Akila Jeeson Daniel, Cari Bader, Kevin Cho, Pooja Krishnan, Nathan Bodenstab, Thomas Lin, Wenxuan Teng, François Beaulieu, Paul Vozila
2025	J	`jnl`	Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applications. CoRR Jean-Philippe Corbeil, Asma Ben Abacha, George Michalopoulos, Phillip Swazinna, Miguel A. del Agua, Jérôme Tremblay, Akila Jeeson Daniel, Cari Bader, Yu-Cheng Cho, Pooja Krishnan, Nathan Bodenstab, Thomas Lin, Wenxuan Teng, François Beaulieu, Paul Vozila
2025	J	`jnl`	Overview of the MEDIQA-OE 2025 Shared Task on Medical Order Extraction from Doctor-Patient Consultations. CoRR Jean-Philippe Corbeil, Asma Ben Abacha, Jérôme Tremblay, Phillip Swazinna, Akila Jeeson Daniel, Miguel A. del Agua, François Beaulieu
2024	J	`jnl`	Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search. CoRR Amna Najib, Stefan Depeweg, Phillip Swazinna
2024	J	`jnl`	TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning. CoRR Batikan Bora Ormanci, Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2023	B	`conf`	Automatic Trade-off Adaptation in Offline RL. ESANN Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2023	J	`jnl`	Automatic Trade-off Adaptation in Offline RL. CoRR Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2023	—	`conf`	Learning Control Policies for Variable Objectives from Offline Data. SSCI Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing
2023	J	`jnl`	Learning Control Policies for Variable Objectives from Offline Data. CoRR Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing
2023	—	`—`	Policy Regularization for Model-Based Offline Reinforcement Learning (Policy Regularisierung für Modellbasiertes Offline Reinforcement Learning) Phillip Swazinna
2023	A*	`conf`	User-Interactive Offline Reinforcement Learning. ICLR Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2022	J	`jnl`	Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning. CoRR Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
2022	J	`jnl`	User-Interactive Offline Reinforcement Learning. CoRR Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021	B	`conf`	Behavior Constraining in Weight Space for Offline Reinforcement Learning. ESANN Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
2021	J	`jnl`	Behavior Constraining in Weight Space for Offline Reinforcement Learning. CoRR Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler
2021	—	`conf`	Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. SSCI Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021	J	`jnl`	Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning. CoRR Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2021	J	`jnl`	Overcoming model bias for robust offline deep reinforcement learning. Eng. Appl. Artif. Intell. Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
2020	J	`jnl`	Overcoming Model Bias for Robust Offline Deep Reinforcement Learning. CoRR Phillip Swazinna, Steffen Udluft, Thomas A. Runkler