Tobias Lang

Affiliations:
  • University of Hamburg, Department of Informatics
  • FU Berlin, Institute of Computer Science
  • TU Berlin, Department of Computer Engineering and Microelectronics
  • Albert Ludwigs University of Freiburg, Department for Computer Science


According to our database1, Tobias Lang authored at least 16 papers between 2007 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2016
Feasibility of Active Machine Learning for Multiclass Compound Classification.
J. Chem. Inf. Model., 2016

2014
Extracting kinematic background knowledge from interactions using task-sensitive relational learning.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen.
Autom., 2013

Active Learning for Teaching a Robot Grounded Relational Symbols.
Proceedings of the IJCAI 2013, 2013

2012
Exploration in relational domains for model-based reinforcement learning.
J. Mach. Learn. Res., 2012

Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Planning and exploration in stochastic relational worlds.
PhD thesis, 2011

Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Escaping local optima in POMDP planning as inference.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Planning with Noisy Probabilistic Relational Rules.
J. Artif. Intell. Res., 2010

Exploration in Relational Worlds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Relevance Grounding for Planning in Relational Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Approximate inference for planning in stochastic relational worlds.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2007
Adaptive Non-Stationary Kernel Regression for Terrain Modeling.
Proceedings of the Robotics: Science and Systems III, 2007


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