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Volumn , Issue , 2008, Pages 22-29

Agent learning using action-dependent learning rates in computer role-playing games

Author keywords

[No Author keywords available]

Indexed keywords

AGENT LEARNING; LEARNING RATES; NEVERWINTER NIGHTS; ROLE-PLAYING GAME; SCRIPTING LANGUAGES; SUDDEN CHANGE; TRADITIONAL REINFORCEMENTS;

EID: 84883112354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (14)
  • 3
    • 0036531878 scopus 로고    scopus 로고
    • Multiagent learning using a variable learning rate
    • Bowling, M., and Veloso, M. 2002. Multiagent Learning Using a Variable Learning Rate. Artificial Intelligence 136(2): 215-250.
    • (2002) Artificial Intelligence , vol.136 , Issue.2 , pp. 215-250
    • Bowling, M.1    Veloso, M.2
  • 7
    • 84883083328 scopus 로고    scopus 로고
    • NWN Arena. 2008. http://www.cs.unimaas.nl/p.spronck/ GameAIOnlineAdaptation3.zip.
    • (2008) NWN Arena
  • 8
    • 84883062206 scopus 로고    scopus 로고
    • AI Game Programming Wisdom 2, Charles River Media, ScriptEase. 2008
    • Rabin, S. 2003. Promising Game AI Techniques. AI Game Programming Wisdom 2. Charles River Media. ScriptEase. 2008. http://www.cs.ualberta.ca/~script/.
    • (2003) Promising Game AI Techniques
    • Rabin, S.1
  • 12
    • 0026971570 scopus 로고
    • Adapting bias by gradient descent: An incremental version of delta-bar-delta
    • Sutton, R.S. 1992. Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta. In Proceedings of the 10th National Conference on AI, 171-176.
    • (1992) Proceedings of the 10th National Conference on AI , pp. 171-176
    • Sutton, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.