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AAAI
2011
14 years 7 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
AAAI
2011
14 years 7 months ago
Commitment to Correlated Strategies
The standard approach to computing an optimal mixed strategy to commit to is based on solving a set of linear programs, one for each of the follower’s pure strategies. We show t...
Vincent Conitzer, Dmytro Korzhyk
158
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AAAI
2011
14 years 7 months ago
Long-Term Declarative Memory for Generally Intelligent Agents
The goal of my research is to develop and evaluate longterm declarative memory mechanisms that are effective and efficient across a variety of tasks.
Nate Derbinsky
AAAI
2011
14 years 7 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser
AAAI
2011
14 years 7 months ago
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
Prashant P. Reddy, Manuela M. Veloso