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AGENTS
1999
Springer
14 years 27 days ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
OSDI
2008
ACM
14 years 9 months ago
KLEE: Unassisted and Automatic Generation of High-Coverage Tests for Complex Systems Programs
We present a new symbolic execution tool, KLEE, capable of automatically generating tests that achieve high coverage on a diverse set of complex and environmentally-intensive prog...
Cristian Cadar, Daniel Dunbar, Dawson R. Engler
ACSAC
2009
IEEE
14 years 3 months ago
Enabling Secure Secret Sharing in Distributed Online Social Networks
—We study a new application of threshold-based secret sharing in a distributed online social network (DOSN), where users need a means to back up and recover their private keys in...
Le-Hung Vu, Karl Aberer, Sonja Buchegger, Anwitama...
SIGSOFT
2009
ACM
14 years 9 months ago
Supporting automatic model inconsistency fixing
Modern development environments often involve models with complex consistency relations. Some of the relations can be automatically established through "fixing procedures&quo...
Yingfei Xiong, Zhenjiang Hu, Haiyan Zhao, Hui Song...
BMCBI
2005
122views more  BMCBI 2005»
13 years 8 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...