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You searched for +publisher:"University of New Hampshire" +contributor:("Laura Dietz"). One record found.

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1. Behzadian, Bahram. Feature Selection by Singular Value Decomposition for Reinforcement Learning.

Degree: MS, 2019, University of New Hampshire

Solving reinforcement learning problems using value function approximation requires having good state features, but constructing them manually is often difficult or impossible. We propose Fast Feature Selection (FFS), a new method for automatically constructing good features in problems with high-dimensional state spaces but low-rank dynamics. Such problems are common when, for example, controlling simple dynamic systems using direct visual observations with states represented by raw images. FFS relies on domain samples and singular value decomposition to construct features that can be used to approximate the optimal value function well. Compared with earlier methods, such as LFD, FFS is simpler and enjoys better theoretical performance guarantees. Our experimental results show that our approach is also more stable, computes better solutions, and can be faster when compared with prior work. Advisors/Committee Members: Marek Petrik, Wheeler Ruml, Laura Dietz.

Subjects/Keywords: Feature Selection; linear value function approximation; Reinforcement Learning; Singular Value Decomposition

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Behzadian, B. (2019). Feature Selection by Singular Value Decomposition for Reinforcement Learning. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1267

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Behzadian, Bahram. “Feature Selection by Singular Value Decomposition for Reinforcement Learning.” 2019. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1267.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Behzadian, Bahram. “Feature Selection by Singular Value Decomposition for Reinforcement Learning.” 2019. Web. 04 Jun 2020.

Vancouver:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1267.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Thesis]. University of New Hampshire; 2019. Available from: https://scholars.unh.edu/thesis/1267

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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