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Volumn , Issue , 2006, Pages 121-123

Designing a reinforcement learning-based adaptive ai for large-scale strategy games

Author keywords

[No Author keywords available]

Indexed keywords

GAME STRATEGIES; INTEGRATED LEARNING; STATE-OF-THE-ART TECHNIQUES; STRATEGY GAMES; WARGAMES;

EID: 71049121079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 2
    • 32144449477 scopus 로고    scopus 로고
    • Ai approaches to developing strategies for wargame type simulations
    • Cape Cod, USA
    • Corruble V. 2000. AI approaches to developing strategies for wargame type simulations. AAAI Fall Symposium on Simulating Human Agents. Cape Cod, USA.
    • (2000) AAAI Fall Symposium on Simulating Human Agents
    • Corruble, V.1
  • 6
    • 33847620969 scopus 로고    scopus 로고
    • Ai in computer games
    • Nareyek, A. 2004. AI in Computer Games. ACM Queue, 1(10).
    • (2004) ACM Queue , vol.1 , Issue.10
    • Nareyek, A.1
  • 9
    • 0036145791 scopus 로고    scopus 로고
    • Games, computers, and artificial intelligence
    • Schaeffer, J., and van den Herik, H. 2002. Games, computers, and artificial intelligence. Artificial Intelligence, 134(1-2):1-8.
    • (2002) Artificial Intelligence , vol.134 , Issue.1-2 , pp. 1-8
    • Schaeffer, J.1    Van Den Herik, H.2
  • 12
    • 0036147771 scopus 로고    scopus 로고
    • Programming backgammon using self-teaching neural nets
    • Tesauro, G. 2002. Programming backgammon using self-teaching neural nets. Artificial Intelligence, 134(1-2), 181-199.
    • (2002) Artificial Intelligence , vol.134 , Issue.1-2 , pp. 181-199
    • Tesauro, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.