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» The Complexity of Partition Functions
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ICMLA
2008
15 years 6 months ago
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Sertan Girgin, Philippe Preux
137
Voted
CORR
2006
Springer
109views Education» more  CORR 2006»
15 years 5 months ago
Decision Making with Side Information and Unbounded Loss Functions
We consider the problem of decision-making with side information and unbounded loss functions. Inspired by probably approximately correct learning model, we use a slightly differe...
Majid Fozunbal, Ton Kalker
122
Voted
CADE
2006
Springer
16 years 5 months ago
Dynamic Logic with Non-rigid Functions
We introduce a dynamic logic that is enriched by non-rigid functions, i.e., functions that may change their value from state to state (during program execution), and we present a (...
Bernhard Beckert, André Platzer
AAAI
2006
15 years 6 months ago
Exploring GnuGo's Evaluation Function with a SVM
While computers have defeated the best human players in many classic board games, progress in Go remains elusive. The large branching factor in the game makes traditional adversar...
Christopher Fellows, Yuri Malitsky, Gregory Wojtas...
137
Voted
ECCC
2000
113views more  ECCC 2000»
15 years 4 months ago
Candidate One-Way Functions Based on Expander Graphs
Abstract. We suggest a candidate one-way function using combinatorial constructs such as expander graphs. These graphs are used to determine a sequence of small overlapping subsets...
Oded Goldreich