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Volumn , Issue , 2008, Pages 464-469

Interaction models for multiagent reinforcement learning

Author keywords

Cooperative reinforcement learning and cooperation models; Multiagent systems

Indexed keywords

ACTION POLICIES; COMPLEX TASK; COOPERATION MODEL; COOPERATIVE REINFORCEMENT LEARNING AND COOPERATION MODELS; HIGH QUALITY; HIGH-DIMENSIONAL; INTERACTION MODEL; LEARNING PROCESS; MULTI-AGENT REINFORCEMENT LEARNING; OPTIMAL ACTION POLICIES; Q-LEARNING ALGORITHMS; SPEED-UPS;

EID: 70449562256     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMCA.2008.98     Document Type: Conference Paper
Times cited : (17)

References (15)
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  • 3
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    • Reinforcement learning for agents with many sensors and actuators acting in categorizable environments
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    • Porta, J.M.1    Celaya, E.2
  • 5
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    • Combining individual and cooperative learning for multiagent negotiations
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    • Soh, L.K.1    Luo, J.2
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    • Designing a successful trading agent for supply chain management
    • DOI 10.1145/1160633.1160843, Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
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    • (2006) Proceedings of the International Conference on Autonomous Agents , vol.2006 , pp. 1159-1166
    • He, M.1    Rogers, A.2    Luo, X.3    Jennings, N.R.4
  • 7
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    • M. Tan. "Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents", Proc. of the Tenth Int. Conf. on Machine Learning. 1993, pp. 330-337.
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  • 9
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    • Social coordination without communication in multi-agent territory exploration tasks
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    • Deloach, S.A.1    Valenzuela, J.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.