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Volumn 18, Issue 3, 2009, Pages 376-416

Graphical models for interactive POMDPs: Representations and solutions

Author keywords

Interactive POMDPs; Probabilistic graphical models; Sequential multiagent decision making

Indexed keywords


EID: 59849115174     PISSN: 13872532     EISSN: 15737454     Source Type: Journal    
DOI: 10.1007/s10458-008-9064-7     Document Type: Article
Times cited : (101)

References (36)
  • 4
    • 0030349220 scopus 로고    scopus 로고
    • Computing optimal policies for partially observable decision processes using compact representations
    • Portland, Oregon
    • Boutilier, C., & Poole, D. (1996). Computing optimal policies for partially observable decision processes using compact representations. In Thirteenth Conference on Artificial Intelligence (AAAI) (pp. 1168-1175). Portland, Oregon.
    • (1996) Thirteenth Conference on Artificial Intelligence (AAAI) , pp. 1168-1175
    • Boutilier, C.1    Poole, D.2
  • 6
    • 1842732640 scopus 로고    scopus 로고
    • Multistage monte carlo methods for solving influence diagrams using local computation
    • 3
    • J.M. Charnes P. Shenoy 2004 Multistage monte carlo methods for solving influence diagrams using local computation Management Science 50 3 405 418
    • (2004) Management Science , vol.50 , pp. 405-418
    • Charnes, J.M.1    Shenoy, P.2
  • 10
    • 0041152046 scopus 로고    scopus 로고
    • Cooperation and punishment in public good experiments
    • 4
    • E. Fehr S. Gachter 2000 Cooperation and punishment in public good experiments American Economic Review 90 4 980 994
    • (2000) American Economic Review , vol.90 , pp. 980-994
    • Fehr, E.1    Gachter, S.2
  • 13
    • 1142268789 scopus 로고    scopus 로고
    • A language for modeling agent's decision-making processes in games
    • Melbourne, Australia
    • Gal, Y., & Pfeffer, A. (2003). A language for modeling agent's decision-making processes in games. In Autonomous Agents and Multi-Agents Systems Conference (AAMAS) (pp. 265-272). Melbourne, Australia.
    • (2003) Autonomous Agents and Multi-Agents Systems Conference (AAMAS) , pp. 265-272
    • Gal, Y.1    Pfeffer, A.2
  • 17
    • 0000725056 scopus 로고
    • Games with incomplete information played by bayesian players
    • 3
    • J.C. Harsanyi 1967 Games with incomplete information played by bayesian players Management Science 14 3 159 182
    • (1967) Management Science , vol.14 , pp. 159-182
    • Harsanyi, J.C.1
  • 21
    • 85149834820 scopus 로고
    • Markov games as a framework for multiagent reinforcement learning
    • New Brunswick, New Jersey
    • Littman, M. (1994). Markov games as a framework for multiagent reinforcement learning. In International Conference on Machine Learning (ICML) (pp. 157-163). New Brunswick, New Jersey.
    • (1994) International Conference on Machine Learning (ICML) , pp. 157-163
    • Littman, M.1
  • 23
    • 33845300407 scopus 로고
    • Formulation of bayesian analysis for games with incomplete information
    • J.F. Mertens S. Zamir 1985 Formulation of bayesian analysis for games with incomplete information International Journal of Game Theory 14 1 29
    • (1985) International Journal of Game Theory , vol.14 , pp. 1-29
    • Mertens, J.F.1    Zamir, S.2
  • 32
    • 51649127552 scopus 로고    scopus 로고
    • Formal models and algorithms for decentralized decision making under uncertainty
    • doi: 10.1007/s10458-007-9026-5
    • Seuken, S., & Zilberstein, S. (2008). Formal models and algorithms for decentralized decision making under uncertainty. Journal of Autonomous Agents and Multi-agent Systems. doi: 10.1007/s10458-007-9026-5 .
    • (2008) Journal of Autonomous Agents and Multi-agent Systems
    • Seuken, S.1    Zilberstein, S.2
  • 33
    • 0022818911 scopus 로고
    • Evaluating influence diagrams
    • 6
    • R.D. Shachter 1986 Evaluating influence diagrams Operations Research 34 6 871 882
    • (1986) Operations Research , vol.34 , pp. 871-882
    • Shachter, R.D.1
  • 34
    • 0015658957 scopus 로고
    • The optimal control of partially observable markov decision processes over a finite horizon
    • R. Smallwood E. Sondik 1973 The optimal control of partially observable markov decision processes over a finite horizon Operations Research (OR) 21 1071 1088
    • (1973) Operations Research (OR) , vol.21 , pp. 1071-1088
    • Smallwood, R.1    Sondik, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.