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ECML
2006
Springer
15 years 10 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
ICDE
1991
IEEE
145views Database» more  ICDE 1991»
15 years 10 months ago
DOT: A Spatial Access Method Using Fractals
Existing Database Management Systems (DBMSs) do not handle efficiently multi-dimensional data such as boxes, polygons, or even points in a multi-dimensional space. We examine acc...
Christos Faloutsos, Yi Rong
NIPS
2003
15 years 8 months ago
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
Milos Hauskrecht, Branislav Kveton
CSCW
2006
ACM
16 years 16 days ago
A grounded theory of information sharing behavior in a personal learning space
This paper presents a grounded theory of information sharing behavior of the users of a personal learning space. A personal learning space is an environment consisted of weblog, e...
Maryam Najafian Razavi, Lee Iverson
SCALESPACE
2005
Springer
16 years 1 days ago
Discrete Representation of Top Points via Scale Space Tessellation
In previous work, singular points (or top points) in the scale space representation of generic images have proven valuable for image matching. In this paper, we propose a construct...
Bram Platel, M. Fatih Demirci, Ali Shokoufandeh, L...