A context-aware approach to automated negotiation using reinforcement learning

Author:

Kröhling Dan E.,Chiotti Omar J.A.,Martínez Ernesto C.

Funder

Ministerio de Ciencia, Tecnología e Innovación Productiva

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems

Reference59 articles.

1. Bedour Alrayes, Özgür Kafalı, and Kostas Stathis. Concurrent bilateral negotiation for open e-markets: The conan strategy. Knowl. Inf. Syst. (2017).

2. Exploring the Strategy Space of Negotiating Agents: A Framework for Bidding, Learning and Accepting in Automated Negotiation;Baarslag,2016

3. Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques;Baarslag;Auton. Agent. Multi-Agent Syst.,2016

4. Multi-agent Reinforcement Learning: An Overview;Buşoniu,2010

5. Emergent communication through negotiation;Cao;Conference paper at ICLR,2018

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