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Volumn , Issue , 2010, Pages 479-484

Reinforcement learning as adaptive network routing of mobile agents

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE NETWORKS; ADAPTIVE ROUTING; ALTERNATIVE METHODS; CHANGING ENVIRONMENT; DISTRIBUTED Q-LEARNING; DISTRIBUTED SYSTEMS; LEARNING POLICY; NETWORK CONDITION; NETWORK INPUTS; PROCESSING NODES; PROCESSING TIME; ROUTING INFORMATION; ROUTING NODE; ROUTING PACKETS;

EID: 77956386759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (10)
  • 6
    • 77956375717 scopus 로고
    • A distributed reinforcement learning scheme for network routing
    • Carnegie Mellon University
    • J. Boyan, M. Littman, A Distributed Reinforcement Learning Scheme for Network Routing, Techical Report, School Of Computer Science, Carnegie Mellon University, 1993.
    • (1993) Techical Report, School of Computer Science
    • Boyan, J.1    Littman, M.2
  • 10
    • 0009247920 scopus 로고    scopus 로고
    • Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control
    • S.P.M. Choi, D.Y. Young, Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control, Advances in Neural Information Processing Systems 8, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8
    • Choi, S.P.M.1    Young, D.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.