Evolutionary reinforcement learning for vision-based general video game playing.
2020 master's thesis by Adam Tupper at University of Canterbury
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Evolutionary reinforcement learning for vision-based general video game playing.
Summary
Evolutionary reinforcement learning for vision-based general video game playing. is a master's thesis[1].
Key Facts
- Evolutionary reinforcement learning for vision-based general video game playing. authored Adam Tupper[2].
- Evolutionary reinforcement learning for vision-based general video game playing.'s instance of is recorded as master's thesis[3].
- Evolutionary reinforcement learning for vision-based general video game playing.'s publisher is recorded as UC Research Repository[4].
- Evolutionary reinforcement learning for vision-based general video game playing.'s DOI is recorded as 10.26021/10198[5].
- Evolutionary reinforcement learning for vision-based general video game playing.'s language of work or name is recorded as English[6].
- Evolutionary reinforcement learning for vision-based general video game playing.'s country of origin is recorded as New Zealand[7].
- Evolutionary reinforcement learning for vision-based general video game playing.'s publication date is recorded as +2020-00-00T00:00:00Z[8].
- Evolutionary reinforcement learning for vision-based general video game playing.'s main subject is recorded as computer science[9].
- Evolutionary reinforcement learning for vision-based general video game playing.'s main subject is recorded as reinforcement learning[10].
- Evolutionary reinforcement learning for vision-based general video game playing.'s main subject is recorded as gameplay experience[11].
- Evolutionary reinforcement learning for vision-based general video game playing.'s Handle ID is recorded as 10092/101134[12].
- Evolutionary reinforcement learning for vision-based general video game playing.'s title is recorded as Evolutionary reinforcement learning for vision-based general video game playing.[13].
- Evolutionary reinforcement learning for vision-based general video game playing.'s copyright holder is recorded as Adam Tupper[14].
- Evolutionary reinforcement learning for vision-based general video game playing.'s thesis submitted to is recorded as University of Canterbury[15].
- Evolutionary reinforcement learning for vision-based general video game playing.'s on focus list of Wikimedia project is recorded as NZThesisProject[16].
- Evolutionary reinforcement learning for vision-based general video game playing.'s copyright status is recorded as copyrighted[17].
- Evolutionary reinforcement learning for vision-based general video game playing.'s online access status is recorded as open access[18].
- Evolutionary reinforcement learning for vision-based general video game playing.'s thesis committee member is recorded as Kourosh Neshatian[19].
Body
Designation and Status
Evolutionary reinforcement learning for vision-based general video game playing.'s instance of is recorded as master's thesis[3].