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ATAL
2011
Springer
13 years 11 months ago
Incentive design for adaptive agents
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
ATAL
2011
Springer
13 years 11 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
PEPM
2009
ACM
15 years 8 months ago
Bidirectional data-flow analyses, type-systematically
We show that a wide class of bidirectional data-flow analyses and program optimizations based on them admit declarative descriptions in the form of type systems. The salient feat...
Maria João Frade, Ando Saabas, Tarmo Uustal...
ATAL
2006
Springer
15 years 3 months ago
Integrating parallel interactions into cooperative search
In this paper we incorporate autonomous agents' capability to perform parallel interactions into the cooperative search model, resulting in a new method which outperforms the...
Efrat Manisterski, David Sarne, Sarit Kraus
POPL
2011
ACM
14 years 2 months ago
Making prophecies with decision predicates
We describe a new algorithm for proving temporal properties expressed in LTL of infinite-state programs. Our approach takes advantage of the fact that LTL properties can often be...
Byron Cook, Eric Koskinen