Parisi, S. and Ramstedt, S. and Peters, J. (2017):
Goal-Driven Dimensionality Reduction for Reinforcement Learning.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Parisi, S. and Pirotta, M. and Peters, J. (2017):
Manifold-based Multi-objective Policy Search with Sample Reuse.
263, In: Neurocomputing, pp. 3-14, ISSN 0925-2312, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Article]

Tangkaratt, V. and van Hoof, H. and Parisi, S. and Neumann, G. and Peters, J. and Sugiyama, M. (2017):
Policy Search with High-Dimensional Context Variables.
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Parisi, S. and Blank, A. and Viernickel,, T. and Peters, J. (2016):
Local-utopia Policy Selection for Multi-objective Reinforcement Learning.
In: Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Parisi, S. and Abdulsamad, H. and Paraschos, A. and Daniel, C. and Peters, J. (2015):
Reinforcement Learning vs Human Programming in Tetherball Robot Games.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SimoneParisi/pa...],
[Conference or Workshop Item]