4
Publications
347
Citations
4
H-Index
2004
Active since
Thomas Rückstieß is an author at Technical University of Munich specializing in machine learning, engineering, and robot learning.
Top concepts
EngineeringMachine LearningRobot LearningComputer ScienceArtificial IntelligenceRoboticsData MiningData ScienceFeature SelectionIntelligent Systems
Publications per year
2004–2012
4
4
Parameter-exploring policy gradients
Frank Sehnke, Christian Osendorfer, Thomas Rückstieß et al. · Neural Networks · 2009 · 239 citations · Full text
Exploring Parameter Space in Reinforcement Learning
Thomas Rückstieß, Frank Sehnke, Tom Schaul et al. · Paladyn Journal of Behavioral Robotics · 2010 · 79 citations · Full text
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