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Learning the Kernel via Convex Optimization
Convex optimization kernel methods machine learning support vector machine
2015/7/9
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel itself from given train...
Kernel-Based Reinforcement Learning in Average-Cost Problems
Average–cost problem dynamic programming kernel smoothing local averaging Markov decision process (MDP)
2015/7/8
Reinforcement learning (RL) is concerned with the identification of optimal controls in Markov decision processes (MDPs) where no explicit model of the transition probabilities is available. Many exis...