메뉴 건너뛰기




Volumn 2, Issue , 2009, Pages 862-869

Learning of coordination: Exploiting sparse interactions in multiagent systems

Author keywords

Local interaction; Multiagent coordination; Reinforcement learning

Indexed keywords

AUTONOMOUS AGENTS; LEARNING ALGORITHMS; REINFORCEMENT LEARNING;

EID: 84899840405     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (58)

References (18)
  • 1
    • 33646244605 scopus 로고    scopus 로고
    • Survey of approximate methods for solving partially observable markov decision processes
    • (revised), Australia
    • D. Aberdeen. (revised) survey of approximate methods for solving partially observable Markov decision processes. Technical report, National ICT Australia, Canberra, Australia, 2003.
    • (2003) Technical Report, National ICT Australia, Canberra
    • Aberdeen, D.1
  • 5
    • 0031630561 scopus 로고    scopus 로고
    • The dynamics of reinforcement learning in cooperative multiagent systems
    • C. Claus and C. Boutilier. The dynamics of reinforcement learning in cooperative multiagent systems. In Proc. Nat. Conf. Artificial Intelligence, pages 746-752, 1998.
    • (1998) Proc. Nat. Conf. Artificial Intelligence , pp. 746-752
    • Claus, C.1    Boutilier, C.2
  • 13
    • 0001547175 scopus 로고    scopus 로고
    • Value-function reinforcement learning in markov games
    • M. Littman. Value-function reinforcement learning in Markov games. J. Cognitive Systems Research, 2(1):55-66, 2001.
    • (2001) J. Cognitive Systems Research , vol.2 , Issue.1 , pp. 55-66
    • Littman, M.1
  • 15
    • 60349107649 scopus 로고    scopus 로고
    • Exploiting factored representations for decentralized execution in multi-agent teams
    • M. Roth, R. Simmons, and M. Veloso. Exploiting factored representations for decentralized execution in multi-agent teams. In Proc. AAMAS, pages 469-75, 2007.
    • (2007) Proc. AAMAS , pp. 469-475
    • Roth, M.1    Simmons, R.2    Veloso, M.3
  • 17
    • 0038637209 scopus 로고    scopus 로고
    • Multi-agent reinforcement learning: Independent vs. Cooperative agents
    • M. Tan. Multi-agent reinforcement learning: Independent vs. cooperative agents. In Readings in Agents, pages 487-194, 1997.
    • (1997) Readings in Agents , pp. 194-487
    • Tan, M.1
  • 18
    • 67649405225 scopus 로고    scopus 로고
    • Reinforcement learning to play an optimal nash equilibrium in team markov games
    • X. Wang and T. Sandholm. Reinforcement learning to play an optimal Nash equilibrium in team Markov games. In Proc. NIPS 15, pages 1571-1578, 2002.
    • (2002) Proc. NIPS , vol.15 , pp. 1571-1578
    • Wang, X.1    Sandholm, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.