Learning to Select Negotiation Strategies in Multi-Agent Meeting Scheduling

Elisabeth Crawford and Manuela Veloso

In this paper we look at the Multi-Agent Meeting Scheduling problem where distributed agents negotiate meeting times on behalf of their users. While many negotiation approaches have been proposed for scheduling meetings it is not well understood how agents can negotiate strategically in order to maximize their users’ utility. To negotiate strategically an agent needs to learn to pick good strategies for each agent. We show how the playbook approach introduced by (Bowling, Browning, and Veloso 2004) for team plan selection in small-size robot soccer can be used to select strategies. Selecting strategies in this way gives some theoretical guarantees about regret. We also show experimental results demonstrating the effectiveness of the approach.

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