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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 was published by 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 was released on 2013[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 title is recorded as Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method[10].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's copyright holder is recorded as Sam Sarjant[11].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis submitted to is recorded as University of Waikato[12].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's on focus list of Wikimedia project is recorded as NZThesisProject[13].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's copyright status is recorded as copyrighted[14].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's online access status is recorded as open access[15].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis committee member is recorded as Bernhard Pfahringer[16].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis committee member is recorded as Kurt Driessens[17].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis committee member is recorded as Tony C. Smith[18].
  • Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method's thesis submitted for degree is recorded as Doctor of Philosophy[19].

Body

Authorship and Creation

Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method authored Sam Sarjant[2]. It was published by Waikato Research Commons[4].

Publication

Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method was published on 2013[8]. Its place of publication is recorded as Hamilton[5]. Its language of work or name is recorded as English[6].

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method. Retrieved May 3, 2026, from https://4ort.xyz/entity/policy-search-based-relational-reinforcement-learning-using-the-cross-entropy-method
MLA “Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/policy-search-based-relational-reinforcement-learning-using-the-cross-entropy-method.
BibTeX @misc{4ortxyz_policy-search-based-relational-reinforcement-learning-using-the-cross-entropy-method_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Policy Search Based Relational Reinforcement Learning using the Cross-Entropy Method}}, year = {2026}, url = {https://4ort.xyz/entity/policy-search-based-relational-reinforcement-learning-using-the-cross-entropy-method}, note = {Accessed: 2026-05-03}}
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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 4w ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Thesis submitted for degree → Doctor of Philosophy
    Thesis submitted to → University of Waikato
    Handle id → 10289/7671
    Place of publication → Hamilton
    + 15 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52326|batch #52326]]: UoWaikato"
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