Learning about the opponent in automated bilateral negotiation: a comprehensive survey of opponent modeling techniques

T Baarslag, MJC Hendrikx, KV Hindriks… - Autonomous Agents and …, 2016 - Springer
A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …

Genius: An integrated environment for supporting the design of generic automated negotiators

R Lin, S Kraus, T Baarslag, D Tykhonov… - Computational …, 2014 - Wiley Online Library
The design of automated negotiators has been the focus of abundant research in recent
years. However, due to difficulties involved in creating generalized agents that can negotiate …

Alternating offers protocols for multilateral negotiation

R Aydoğan, D Festen, KV Hindriks… - Modern approaches to …, 2017 - Springer
This paper presents a general framework for multilateral turn-taking protocols and two fully
specified protocols namely Stacked Alternating Offers Protocol (SAOP) and Alternating …

Summarizing agent strategies

O Amir, F Doshi-Velez, D Sarne - Autonomous Agents and Multi-Agent …, 2019 - Springer
Intelligent agents and AI-based systems are becoming increasingly prevalent. They support
people in different ways, such as providing users with advice, working with them to achieve …

Automated negotiation in environmental resource management: Review and assessment

F Eshragh, M Pooyandeh, DJ Marceau - Journal of environmental …, 2015 - Elsevier
Negotiation is an integral part of our daily life and plays an important role in resolving
conflicts and facilitating human interactions. Automated negotiation, which aims at capturing …

Learning to play no-press diplomacy with best response policy iteration

T Anthony, T Eccles, A Tacchetti… - Advances in …, 2020 - proceedings.neurips.cc
Recent advances in deep reinforcement learning (RL) have led to considerable progress in
many 2-player zero-sum games, such as Go, Poker and Starcraft. The purely adversarial …

Challenges and main results of the automated negotiating agents competition (ANAC) 2019

R Aydoğan, T Baarslag, K Fujita, J Mell… - Multi-Agent Systems and …, 2020 - Springer
Abstract The Automated Negotiating Agents Competition (ANAC) is a yearly-organized
international contest in which participants from all over the world develop intelligent …

Automated negotiating agents competition (ANAC)

C Jonker, R Aydogan, T Baarslag, K Fujita… - Proceedings of the …, 2017 - ojs.aaai.org
Abstract The annual International Automated Negotiating Agents Competition (ANAC) is
used by the automated negotiation research community to benchmark and evaluate its work …

Decoupling negotiating agents to explore the space of negotiation strategies

T Baarslag, K Hindriks, M Hendrikx… - Novel insights in agent …, 2014 - Springer
Every year, automated negotiation agents are improving on various domains. However,
given a set of negotiation agents, current methods allow to determine which strategy is best …

Using gaussian processes to optimise concession in complex negotiations against unknown opponents

CR Williams, V Robu, EH Gerding, NR Jennings - 2011 - eprints.soton.ac.uk
In multi-issue automated negotiation against unknown opponents, a key part of effective
negotiation is the choice of concession strategy. In this paper, we develop a principled …