PILCO: A Model-Based and Data-Efficient Approach to Policy Search
In this paper, we introduce pilco, a practical, data-efficient model-based policy search method. Pilco reduces model bias, one of the key problems of model-based reinforcement l...
Publications
2 shownA Survey on Policy Search for Robotics
<p>Policy search is a subfield in reinforcement learning which focuses onfinding good parameters for a given policy parametrization. It is wellsuited for robotics as it ca...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 1,755
- Institution
- University of Washington
External Links
Identifiers
- ORCID
- 0000-0003-1503-680X
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.