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IJCAI
2007
13 years 11 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
ECAI
2010
Springer
13 years 11 months ago
Fair Division under Ordinal Preferences: Computing Envy-Free Allocations of Indivisible Goods
We study the problem of fairly dividing a set of goods amongst a group of agents, when those agents have preferences that are ordinal relations over alternative bundles of goods (r...
Sylvain Bouveret, Ulle Endriss, Jérôm...
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 10 months ago
Efficient Minimization of Decomposable Submodular Functions
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...
Peter Stobbe, Andreas Krause
IPL
2008
89views more  IPL 2008»
13 years 10 months ago
On the tractability of coloring semirandom graphs
As part of the efforts put in understanding the intricacies of the k-colorability problem, different distributions over k-colorable graphs were analyzed. While the problem is notor...
Julia Böttcher, Dan Vilenchik
JAIR
2008
111views more  JAIR 2008»
13 years 10 months ago
New Islands of Tractability of Cost-Optimal Planning
We study the complexity of cost-optimal classical planning over propositional state variables and unary-effect actions. We discover novel problem fragments for which such optimiza...
Michael Katz, Carmel Domshlak