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• W2029387675 abstract "Reinforcement learning (RL) for a linear family of tasks is described in this paper. The key of our discussion is nonlinearity of the optimal solution even if the task family is linear; we cannot obtain the optimal policy using a naive approach. Although an algorithm exists for calculating the equivalent result to Q-learning for each task simultaneously, it presents the problem of explosion of set sizes. We therefore introduce adaptive margins to overcome this difficulty." @default.
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• W2029387675 date "2008-10-07" @default.
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• W2029387675 title "Parallel reinforcement learning for weighted multi-criteria model with adaptive margin" @default.
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• W2029387675 doi "https://doi.org/10.1007/s11571-008-9066-9" @default.
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