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IJCAI
2007
13 years 10 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
NIPS
2008
13 years 9 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah
AAAI
2006
13 years 9 months ago
Diagnosis of Multi-Robot Coordination Failures Using Distributed CSP Algorithms
With increasing deployment of systems involving multiple coordinating agents, there is a growing need for diagnosing coordination failures in such systems. Previous work presented...
Meir Kalech, Gal A. Kaminka, Amnon Meisels, Yehuda...
UAI
2003
13 years 9 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
EUROPAR
2010
Springer
13 years 9 months ago
cTrust: Trust Aggregation in Cyclic Mobile Ad Hoc Networks
In a Cyclic Mobile Ad Hoc Network (CMANET) where nodes move cyclically, we formulate trust management problems and propose the cTrust scheme to handle trust establishment and aggre...
Huanyu Zhao, Xin Yang, Xiaolin Li