8 search results - page 1 / 2 » Global Approximations for Principal Agent Theory |
123
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TSMC
2008
15 years 2 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
163
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TCS
2010
15 years 1 months ago
2010
The concept of stigmergy provides a simple framework for interaction and coordination in multi-agent systems. However, determining the global system behavior that will arise from ...
120
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STOC
2010
ACM
15 years 7 months ago
2010
ACM
We study the classic mathematical economics problem of Bayesian optimal mechanism design where a principal aims to optimize expected revenue when allocating resources to self-inte...
128
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ATAL
2007
Springer
15 years 9 months ago
2007
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
123
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ROBOCUP
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...