Browsing by Author "Arslan, Furkan"
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An actor-critic reinforcement learning approach for bilateral negotiation
Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ... -
Actor-critic reinforcement learning for bidding in bilateral negotiation
Arslan, Furkan; Aydoğan, Reyhan (TÜBİTAK, 2022)Designing an effective and intelligent bidding strategy is one of the most compelling research challenges in automated negotiation, where software agents negotiate with each other to find a mutual agreement when there is ... -
Nova: Value-based negotiation of norms
Aydoğan, Reyhan; Kafali, Ö.; Jonker, C. M.; Singh, M. P. (ACM, 2021-08-01)Specifying a normative multiagent system (nMAS) is challenging, because different agents often have conflicting requirements. Whereas existing approaches can resolve clear-cut conflicts, tradeoffs might occur in practice ...
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