Florian Vogt

Reinforcement Learning Research Engineer, KTH Royal Institute of Technology

Joined

August 2024

Names

Florian Vogt (Preferred)

Emails

****@informatik.uni-freiburg.de (Confirmed)

,

****@kth.se (Confirmed)

Personal Links

Career & Education History

Reinforcement Learning Research Engineer

KTH Royal Institute of Technology (kth.se)

2026 – 2026

MS student

Albert-Ludwigs-Universität Freiburg (uni-freiburg.de)

2022 – 2025

Advisors, Relations & Conflicts

PhD Advisor

Daniel Palenicek

2024 – 2025

PhD Advisor

2024 – 2024

Expertise

No areas of expertise listed

Publications

XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning
Daniel Palenicek, Florian Vogt, Joe Watson, Ingmar Posner, Jan Peters
- ICLR 2026 Poster
- Readers: Everyone
CrossQ+WN: Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Daniel Palenicek, Florian Vogt, Joe Watson, Jan Peters
- EWRL 2025 Poster
- Readers: Everyone
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Daniel Palenicek, Florian Vogt, Joe Watson, Jan Peters
- NeurIPS 2025 poster
- Readers: Everyone
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Daniel Palenicek, Florian Vogt, Jan Peters
- CoRR 2025
- Readers: Everyone
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Daniel Palenicek, Florian Vogt, Jan Peters
- Submitted to ICML 2025
- Readers: Everyone
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
- ICLR 2025
- Readers: Everyone
Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
Sascha Marton, Tim Grams, Florian Vogt, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
- ICLR 2025 Spotlight
- Readers: Everyone

Co-Authors