Synthesis of Strategies from Interaction Traces
Tsz-Chiu Au, Dana Nau and Sarit Kraus
In: Seventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2008), May 2008, Estoril, Portugal.
We describe how to take a set of interaction traces produced by
different pairs of players in a two-player repeated game, and combine
them into a composite strategy. We provide an algorithm that,
in polynomial time, can generate the best such composite strategy.
We describe how to incorporate the composite strategy into an existing
agent, as an enhancement of the agents original strategy.
We provide experimental results using interaction traces from
126 agents (most of them written by students as class projects) for
the Iterated Prisoners Dilemma, Iterated Chicken Game, and Iterated
Battle of the Sexes. We compared each agent with the enhanced
version of that agent produced by our algorithm. The enhancements
improved the agents scores by about 5% in the IPD,
11% in the ICG, and 26% in the IBS, and improved their rank by
about 12% in the IPD, 38% in the ICG, and 33% in the IBS.