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» Static Analysis by Policy Iteration on Relational Domains
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ICML
2009
IEEE
14 years 6 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint
SDMW
2009
Springer
14 years 18 days ago
Controlling Access to XML Documents over XML Native and Relational Databases
In this paper we investigate the feasibility and efficiency of mapping XML data and access control policies onto relational and native XML databases for storage and querying. We de...
Lazaros Koromilas, George Chinis, Irini Fundulaki,...
ACSAC
2007
IEEE
14 years 13 days ago
Fine-Grained Information Flow Analysis and Enforcement in a Java Virtual Machine
We have implemented an information flow framework for the Java Virtual Machine that combines static and dynamic techniques to capture not only explicit flows, but also implicit ...
Deepak Chandra, Michael Franz
IPPS
2007
IEEE
14 years 11 days ago
iC2mpi: A Platform for Parallel Execution of Graph-Structured Iterative Computations
Parallelization of sequential programs is often daunting because of the substantial development cost involved. Various solutions have been proposed to address this concern, includ...
Harnish Botadra, Qiong Cheng, Sushil K. Prasad, Er...
IJCAI
2001
13 years 7 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar