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MOBIQUITOUS
2008
IEEE
14 years 2 months ago
A multi-dimensional model enabling autonomic reasoning for context-aware pervasive applications
A fundamental requirement for autonomic computing is to be able to automatically infer how human users react in similar contextual conditions. This paper examines the problem of a...
Nearchos Paspallis, Konstantinos Kakousis, George ...
IROS
2007
IEEE
150views Robotics» more  IROS 2007»
14 years 1 months ago
Long-Term learning using multiple models for outdoor autonomous robot navigation
Abstract—Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research. The navigation task requires identifying safe, traversable pat...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
IJON
2006
90views more  IJON 2006»
13 years 7 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
AIMSA
2004
Springer
14 years 1 months ago
The Web as an Autobiographical Agent
The reward-based autobiographical memory approach has been applied to the Web search agent. The approach is based on the analogy between the Web and the environmental exploration b...
Maya Dimitrova, Emilia I. Barakova, Tino Lourens, ...