연구동향 분석

Reinforcement Learning based Single AI trained from Multi-game

최도헌 박소영 2019년

논문상세정보
인용/피인용
' Reinforcement Learning based Single AI trained from Multi-game' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Game AI
  • Deep learning
  • Reinforcement learning
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,383 0

0.0%

' Reinforcement Learning based Single AI trained from Multi-game' 의 참고문헌

  • 퍼지 확장 기법을 이용한 온라인 게임에 적합한 지능적 AI 기법
    문성원 [2008]
  • 스타크래프트 인공지능의 성능 향상을 위한 적응성있고 비용 효율적인 빌드 오더 선택 기법
    이상호 [2008]
  • World-championshipcaliber Scrabble
  • On-line policy improvement using Monte-Carlo search
  • Mastering the game of Go without human knowledge
  • Mastering the game of Go with deep neural networks and tree search
  • Human-level performance in 3D multiplayer games with population-based reinforcement learning
  • Human-level control through deep reinforcement learning
  • FUEGO – An Open-source Framework for Board Games and Go Engine Based on Monte-Carlo Tree Search
  • Deep Learning
    Yann LeCun [2015]
  • Deep Blue
  • A world championship caliber checkers program