Using and combining predictors that specialize
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Gambling in a rigged casino: The adversarial multi-armed bandit problem
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Multiple Negotiations among Agents for a Distributed Meeting Scheduler
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
The weighted majority algorithm
SFCS '89 Proceedings of the 30th Annual Symposium on Foundations of Computer Science
An experts approach to strategy selection in multiagent meeting scheduling
Autonomous Agents and Multi-Agent Systems
Scheduling meetings through multi-agent negotiations
Decision Support Systems
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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, agents need to learn to pick good strategies for negotiating with other agents. We show how the playbook approach, introduced by [1] 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.