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» Feature Selection as a One-Player Game
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ICML
2010
IEEE
13 years 5 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
ICALP
2005
Springer
13 years 10 months ago
Recursive Markov Decision Processes and Recursive Stochastic Games
We introduce Recursive Markov Decision Processes (RMDPs) and Recursive Simple Stochastic Games (RSSGs), which are classes of (finitely presented) countable-state MDPs and zero-su...
Kousha Etessami, Mihalis Yannakakis
CSL
2008
Springer
13 years 6 months ago
An Optimal Strategy Improvement Algorithm for Solving Parity and Payoff Games
This paper presents a novel strategy improvement algorithm for parity and payoff games, which is guaranteed to select, in each improvement step, an optimal combination of local str...
Sven Schewe
EVOW
2010
Springer
13 years 11 months ago
Multiple Overlapping Tiles for Contextual Monte Carlo Tree Search
Monte Carlo Tree Search is a recent algorithm that achieves more and more successes in various domains. We propose an improvement of the Monte Carlo part of the algorithm by modify...
Arpad Rimmel, Fabien Teytaud
ICMI
2009
Springer
146views Biometrics» more  ICMI 2009»
13 years 11 months ago
Learning from preferences and selected multimodal features of players
The influence of multimodal sources of input data to the construction of accurate computational models of user preferences is investigated in this paper. The case study presented...
Georgios N. Yannakakis