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Using Gaussian Processes to Optimise Concession in Complex Negotiations against Unknown Opponents

2019-11-12 | |  45 |   35 |   0
Abstract 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 concession strategy, based on Gaussian processes predicting the opponent’s future behaviour. We then use this to set the agent’s concession rate dynamically during a single negotiation session. We analyse the performance of our strategy and show that it outperforms the stateof-the-art negotiating agents from the 2010 Automated Negotiating Agents Competition, in both a tournament setting and in self-play, across a variety of negotiation domains.

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