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Volumn 1, Issue , 2012, Pages 1076-1081

Object-oriented representation and hierarchical reinforcement learning in infinite Mario

Author keywords

action games; action selection; hierarchical reinforcement learning; object oriented representation

Indexed keywords

ACTION GAMES; ACTION SELECTION; DOMAIN-SPECIFIC KNOWLEDGE; EFFICIENT LEARNING; HIERARCHICAL REINFORCEMENT LEARNING; LEARNING FRAMEWORKS; OBJECT-ORIENTED REPRESENTATION; REINFORCEMENT LEARNING TECHNIQUES;

EID: 84876838136     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2012.152     Document Type: Conference Paper
Times cited : (10)

References (13)
  • 1
    • 70449370276 scopus 로고    scopus 로고
    • RL-Glue: Language-indepenent software for reinforcement learning experiments
    • September
    • B. Tanner and A. White, "RL-Glue: Language-indepenent software for reinforcement learning experiments," The Journal of Machine Learning Research, vol. 10, pp. 2133-2136, September 2009.
    • (2009) The Journal of Machine Learning Research , vol.10 , pp. 2133-2136
    • Tanner, B.1    White, A.2
  • 4
    • 0033170372 scopus 로고    scopus 로고
    • Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
    • R. S. Sutton, D. Precup and S. Singh, "Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning," Artificial Intelligence, vol. 112, pp. 181-211, 1999.
    • (1999) Artificial Intelligence , vol.112 , pp. 181-211
    • Sutton, R.S.1    Precup, D.2    Singh, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.