Author

Thomas Rückstieß

Observed names: Rückstiess, Thomas;Schmidhuber, Jürgen, Rückstieß, Thomas

Institution: MongoDB (United States)

Observed institutions: MongoDB (United States), Technical University of Munich

OpenAlex ID: A5061358849

Parameter-exploring policy gradients

2009 · Frank Sehnke, Christian Osendorfer, et al. · Neural Networks · 236

Sequential Feature Selection for Classification

2011 · Thomas Rückstieß, Christian Osendorfer, et al. · Lecture notes in computer science · 100

Exploring Parameter Space in Reinforcement Learning

2010 · Thomas Rückstieß, Frank Sehnke, et al. · Paladyn Journal of Behavioral Robotics · 78

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State-Dependent Exploration for Policy Gradient Methods

2008 · Thomas Rückstieß, Martin Felder, et al. · Lecture notes in computer science · 78

Policy Gradients with Parameter-Based Exploration for Control

2008 · Frank Sehnke, Christian Osendorfer, et al. · Lecture notes in computer science · 62

Minimizing data consumption with sequential online feature selection

2012 · Thomas Rückstieß, Christian Osendorfer, et al. · International Journal of Machine Learning and Cybernetics · 18

Fast and Accurate Environment Modelling using Omnidirectional Vision

2004 · Patrick Heinemann, Thomas Rückstieß, et al. · 12

A Python Experiment Suite

2010 · Rückstiess, Thomas;Schmidhuber, Jürgen · 2

LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations

2026 · Robin Vujanic, Thomas Rückstieß · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1

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Reinforcement Learning in Supervised Problem Domains

2016 · Thomas Rückstieß · 1

Python Experiment Suite Implementation

2011 · Thomas Rückstieß, Jürgen Schmidhuber · mediaTUM (Technical University of Munich) · 1

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High-Throughput LLM-Based Compression and What It Takes: A Systems Study of Inference Engines and Entropy Coding Optimizations

2026 · Adams, David, Neubauer, Luisa, et al. · arXiv (Cornell University)

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LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations

2026 · Association for Computational Linguistics 2026, Rückstieß, Thomas, et al. · Underline Science Inc.

Autoregressive Synthesis of Sparse and Semi-Structured Mixed-Type Data

2026 · Rückstieß, Thomas, Vujanic, Robin · arXiv (Cornell University)

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ORIGAMI: A generative transformer architecture for predictions from semi-structured data

2024 · Rückstieß, Thomas, Huang, Alana, et al. · arXiv (Cornell University)

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Minimizing Data Consumption in Sequential Classification

2012 · Thomas Rückstieß, Christian Osendorfer, et al. · International Journal of Machine Learning and Cybernetics

Robot Learning with State-Dependent Exploration

2008 · Thomas Rückstieß, Martin Felder, et al. · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich)

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Works count: 22

Citation count: 589

H-index: 7

I10-index: 7