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Volumn 2, Issue , 2003, Pages 875-882

Automatic Generation of an Agent's Basic Behaviors

Author keywords

Adaptation; Complex environments; Markov Decision Processes; Reinforcement learning; Scalability

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; COMPUTER SIMULATION; INTELLIGENT AGENTS; LEARNING SYSTEMS; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; TREES (MATHEMATICS);

EID: 1142292522     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/860575.860716     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 3
    • 0003979861 scopus 로고    scopus 로고
    • Incorporating prior knowledge and previously learned information into reinforcement learning agents
    • Carnegie Mellon University, Institute for Complex Engineered Systems
    • K. Dixon, R. Malak, and P. Khosla. Incorporating prior knowledge and previously learned information into reinforcement learning agents. Technical report, Carnegie Mellon University, Institute for Complex Engineered Systems, 2000.
    • (2000) Technical Report
    • Dixon, K.1    Malak, R.2    Khosla, P.3
  • 11
    • 0003899594 scopus 로고    scopus 로고
    • Between MDPs and Semi-MDPs: Learning, planning, and representing knowledge at multiple temporal scales
    • University of Massachusetts, Department of Computer and Information Sciences, Amherst, MA
    • R. Sutton, D. Precup, and S. Singh. Between MDPs and Semi-MDPs: Learning, planning, and representing knowledge at multiple temporal scales. Technical report, University of Massachusetts, Department of Computer and Information Sciences, Amherst, MA, 1998.
    • (1998) Technical Report
    • Sutton, R.1    Precup, D.2    Singh, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.