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FOCS
1993
IEEE
15 years 1 months ago
An On-Line Algorithm for Improving Performance in Navigation
We consider the following scenario. A point robot is placed at some start location ¡ in a 2dimensional scene containing oriented rectangular obstacles. The robot must repeatedly ...
Avrim Blum, Prasad Chalasani
JACM
1998
88views more  JACM 1998»
14 years 9 months ago
A Threshold of ln n for Approximating Set Cover
Given a collection Ᏺ of subsets of S ϭ {1, . . . , n}, set cover is the problem of selecting as few as possible subsets from Ᏺ such that their union covers S, and max k-cover ...
Uriel Feige
AUSAI
2005
Springer
15 years 3 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
COLT
2003
Springer
15 years 2 months ago
Internal Regret in On-Line Portfolio Selection
This paper extends the game-theoretic notion of internal regret to the case of on-line potfolio selection problems. New sequential investment strategies are designed to minimize th...
Gilles Stoltz, Gábor Lugosi
70
Voted
ICONIP
2007
14 years 11 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor