Niklas Strauß

22 papers A* 2A 3B 2Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions.
CoRR
Zongyue Li, Xiao Han, Yusong Li, Niklas Strauß, Matthias Schubert
2024 A* conf
Autoregressive Policy Optimization for Constrained Allocation Tasks.
NeurIPS
David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert
2024 J jnl
Autoregressive Policy Optimization for Constrained Allocation Tasks.
CoRR
David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert
2024 A conf
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images.
ECAI
Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert
2024 J jnl
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images.
CoRR
Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert
2024 — conf
Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters.
ICDM (Workshops)
Collin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl
2024 J jnl
Dying Clusters Is All You Need - Deep Clustering With an Unknown Number of Clusters.
CoRR
Collin Leiber, Niklas Strauß, Matthias Schubert, Thomas Seidl
2024 J jnl
Efficient Parking Search using Shared Fleet Data.
CoRR
Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert
2024 J jnl
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning.
CoRR
David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
2024 A conf
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem.
SDM
Niklas Strauß, Matthias Schubert
2024 J jnl
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem.
CoRR
Niklas Strauß, Matthias Schubert
2023 — conf
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning.
PAKDD (2)
David Winkel, Niklas Strauß, Matthias Schubert, Yunpu Ma, Thomas Seidl
2023 B conf
DEAR: Dynamic Electric Ambulance Redeployment.
SSTD
Lukas Rottkamp, Niklas Strauß, Matthias Schubert
2023 A* conf
MapFormer: Boosting Change Detection by Using Pre-change Information.
ICCV
Maximilian Bernhard, Niklas Strauß, Matthias Schubert
2023 J jnl
MapFormer: Boosting Change Detection by Using Pre-change Information.
CoRR
Maximilian Bernhard, Niklas Strauß, Matthias Schubert
2023 A conf
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning.
ECAI
David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
2022 — conf
A Comparison of Ambulance Redeployment Systems on Real-World Data.
ICDM (Workshops)
Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert
2022 — conf
Efficient on-street parking sensor placement.
IWCTS@SIGSPATIAL
Lukas Rottkamp, Matthias Schubert, Niklas Strauß
2022 — conf
Reinforcement Learning for Multi-Agent Stochastic Resource Collection.
ECML/PKDD (4)
Niklas Strauß, David Winkel, Max Berrendorf, Matthias Schubert
2022 — conf
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection.
ECML/PKDD (6)
David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl
2021 B conf
Efficient Parking Search using Shared Fleet Data.
MDM
Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert
2019 — conf
Spatial Interpolation with Message Passing Framework.
ICDM Workshops
Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert