Scalable Bayesian Reinforcement Learning

doctoral thesis by Gilwoo Lee, Computer Science & Engineering, University of Washington, 2020
Place doctoral_thesis Q113668395
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Scalable Bayesian Reinforcement Learning

Summary

Scalable Bayesian Reinforcement Learning is a doctoral thesis[1].

Key Facts

  • Scalable Bayesian Reinforcement Learning authored Gilwoo Lee[2].
  • Scalable Bayesian Reinforcement Learning's instance of is recorded as doctoral thesis[3].
  • Scalable Bayesian Reinforcement Learning's OCLC number is recorded as 1246321524[4].
  • Scalable Bayesian Reinforcement Learning's language of work or name is recorded as English[5].
  • +2020-00-00T00:00:00Z marks the founding of Scalable Bayesian Reinforcement Learning[6].
  • Scalable Bayesian Reinforcement Learning's work available at URL is recorded as http://hdl.handle.net/1773/46430[7].
  • Scalable Bayesian Reinforcement Learning's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+100'}[8].
  • Scalable Bayesian Reinforcement Learning's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+9'}[9].
  • Scalable Bayesian Reinforcement Learning's Handle ID is recorded as 1773/46430[10].
  • Scalable Bayesian Reinforcement Learning's title is recorded as Scalable Bayesian Reinforcement Learning[11].
  • Scalable Bayesian Reinforcement Learning's thesis submitted to is recorded as University of Washington[12].
  • Scalable Bayesian Reinforcement Learning's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
  • Scalable Bayesian Reinforcement Learning's thesis committee member is recorded as Siddhartha Srinivasa[14].

Body

Designation and Status

Scalable Bayesian Reinforcement Learning's instance of is recorded as doctoral thesis[3].

History and Context

+2020-00-00T00:00:00Z marks the founding of Scalable Bayesian Reinforcement Learning[6].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] . WorldCat. Retrieved . wikidata.org.
  2. [2] . WorldCat. Retrieved . wikidata.org.
  3. [4] . WorldCat. Retrieved . wikidata.org.
  4. [5] . WorldCat. Retrieved . wikidata.org.
  5. [6] . WorldCat. Retrieved . wikidata.org.
  6. [7] . WorldCat. Retrieved . wikidata.org.
  7. [8] . WorldCat. Retrieved . wikidata.org.
  8. [9] . WorldCat. Retrieved . wikidata.org.
  9. [10] . WorldCat. Retrieved . wikidata.org.
  10. [11] . WorldCat. Retrieved . wikidata.org.
  11. [12] . WorldCat. Retrieved . wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . WorldCat. Retrieved . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Scalable Bayesian Reinforcement Learning. Retrieved May 3, 2026, from https://4ort.xyz/entity/scalable-bayesian-reinforcement-learning
MLA “Scalable Bayesian Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/scalable-bayesian-reinforcement-learning.
BibTeX @misc{4ortxyz_scalable-bayesian-reinforcement-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scalable Bayesian Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/scalable-bayesian-reinforcement-learning}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scalable Bayesian Reinforcement Learning — https://4ort.xyz/entity/scalable-bayesian-reinforcement-learning (retrieved 2026-05-03)

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