메뉴 건너뛰기




Volumn , Issue , 2006, Pages

Hierarchical reinforcement learning with deictic representation in a computer game

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE AGENTS; COMPUTER GAME; HIERARCHICAL REINFORCEMENT LEARNING; LEARNING TASKS; MACHINE LEARNING RESEARCH; MACHINE LEARNING TECHNIQUES; STATE REPRESENTATION; TASK INSTANCE;

EID: 84874014150     PISSN: 15687805     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 3
    • 0002278788 scopus 로고    scopus 로고
    • Hierarchical reinforcement learning with the MAXQ value function decomposition
    • T.G. Dietterich. Hierarchical reinforcement learning with the MAXQ value function decomposition. Journal of Artificial Intelligence Research, 13:227-303, 2000.
    • (2000) Journal of Artificial Intelligence Research , vol.13 , pp. 227-303
    • Dietterich, T.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.