258 search results - page 7 / 52 » Continuous Capacities on Continuous State Spaces |
JMLR
2006
14 years 11 months ago
2006
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper presents a new method called Transition-based RRT (T-RRT) for path planning problems in continuous cost spaces. It combines the exploration strength of the RRT algorith...
ROBOCUP
2000
Springer
15 years 3 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
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ICCBR
2005
Springer
15 years 5 months ago
2005
Springer
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
BPM
2008
Springer
15 years 1 months ago
2008
Springer
In this paper, we demonstrate the prototype of a modelling tool that applies graph-based rules for identifying problems in business process models. The advantages of our approach a...