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ICML
2008
IEEE
14 years 11 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
ALT
2009
Springer
14 years 7 months ago
Canonical Horn Representations and Query Learning
Abstract. We describe an alternative construction of an existing canonical representation for definite Horn theories, the Guigues-Duquenne basis (or GD basis), which minimizes a n...
Marta Arias, José L. Balcázar
DATE
2007
IEEE
106views Hardware» more  DATE 2007»
14 years 4 months ago
Design closure driven delay relaxation based on convex cost network flow
Design closure becomes hard to achieve at physical layout stage due to the emergence of long global interconnects. Consequently, interconnect planning needs to be integrated in hi...
Chuan Lin, Aiguo Xie, Hai Zhou
ICC
2007
IEEE
14 years 4 months ago
Optimal Worst-Case QoS Routing in Constrained AWGN Channel Network
— In this paper, we extend the optimal worst-case QoS routing algorithm and metric definition given in [1]. We prove that in addition to the q-ary symmetric and q-ary erasure ch...
Edwin Soedarmadji, Robert J. McEliece
SIGECOM
2010
ACM
165views ECommerce» more  SIGECOM 2010»
14 years 2 months ago
Computing optimal strategies to commit to in extensive-form games
Computing optimal strategies to commit to in general normal-form or Bayesian games is a topic that has recently been gaining attention, in part due to the application of such algo...
Joshua Letchford, Vincent Conitzer