Scalable Bayesian Reinforcement Learning
doctoral thesis by Gilwoo Lee, Computer Science & Engineering, University of Washington, 2020
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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].