[Download pdf] A Survey on Policy Search for Robotics (Foundations and Trends(r) in Robotics)
☆ Marc Peter Deisenroth, Gerhard Neumann, Jan Peters ☆
| #9363918 in Books | 2013-08-15 | Original language:English | PDF # 1 | 9.21 x.34 x6.14l,.51 | File Name: 1601987021 | 160 pages
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Policy search is a subfield of Reinforcement Learning (RL) that focuses on finding good parameters for a given policy parameterization. It is well suited tor robotics as it can cope with high-dimensional state and action spaces, which is one of the main challenges in robot learning. A Survey on Policy Search for Robotics reviews recent successes of both model-free and model-based policy search in robot learning. Model-free policy search is a general approach to learn p...
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