메뉴 건너뛰기




Volumn 43, Issue 4, 2003, Pages 245-256

An approach to the pursuit problem on a heterogeneous multiagent system using reinforcement learning

Author keywords

Emergence; Heterogeneous multiagent system; Prediction; Pursuit problem; Q learning

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBLEM SOLVING;

EID: 0037843409     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0921-8890(03)00040-X     Document Type: Article
Times cited : (73)

References (7)
  • 1
  • 3
    • 0013354070 scopus 로고    scopus 로고
    • Effective learning approach for planning and scheduling in multi-agent domain
    • S. Arai, K. Sycara, Effective learning approach for planning and scheduling in multi-agent domain, in: Proceedings of the Sixth ISAB: From Animals to Animats, vol. 6, 2000, pp. 507-516.
    • (2000) Proceedings of the Sixth ISAB: From Animals to Animats , vol.6 , pp. 507-516
    • Arai, S.1    Sycara, K.2
  • 7
    • 0038637209 scopus 로고    scopus 로고
    • Multi-agent reinforcement learning independent vs. cooperative agents
    • Morgan Kaufmann, Los Altos, CA
    • M. Tan, Multi-agent reinforcement learning independent vs. cooperative agents, in: Proceedings of the 10th International Conference on Machine Learning, Morgan Kaufmann, Los Altos, CA, 1997, pp. 487-494.
    • (1997) Proceedings of the 10th International Conference on Machine Learning , pp. 487-494
    • Tan, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.