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115
Voted
WSC
2008
15 years 5 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
123
Voted
DATE
2008
IEEE
15 years 10 months ago
2008
IEEE
With the advance of SAT solvers, transforming a software program to a propositional formula has generated much interest for bounded model checking of software in recent years. How...
134
Voted
VRML
2000
ACM
15 years 8 months ago
2000
ACM
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
143
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COLT
1991
Springer
15 years 7 months ago
1991
Springer
Applications of learning to autonomous agents (simulated or real) have often been restricted to learning a mapping from perceived state of the world to the next action to take. Of...
126
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HIS
2008
15 years 5 months ago
2008
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...