Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method
2013 doctoral thesis by Samuel Sarjant at University of Waikato
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Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method
Summary
Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method is a doctoral thesis[1].
Key Facts
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method authored Sam Sarjant[2].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's instance of is recorded as doctoral thesis[3].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's publisher is recorded as Waikato Research Commons[4].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's place of publication is recorded as Hamilton[5].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's language of work or name is recorded as English[6].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's country of origin is recorded as New Zealand[7].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's publication date is recorded as +2013-00-00T00:00:00Z[8].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/7671[9].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's Handle ID is recorded as 10289/7671[10].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's title is recorded as Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method[11].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's copyright holder is recorded as Sam Sarjant[12].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis submitted to is recorded as University of Waikato[13].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's on focus list of Wikimedia project is recorded as NZThesisProject[14].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's copyright status is recorded as copyrighted[15].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's online access status is recorded as open access[16].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis committee member is recorded as Bernhard Pfahringer[17].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis committee member is recorded as Kurt Driessens[18].
- Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis committee member is recorded as Tony C. Smith[19].
Body
Designation and Status
Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's instance of is recorded as doctoral thesis[3].