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This paper presents a new method of capturing digital ink for pen-based computing. Current technologies such as tablets, ultrasonic and the Anoto pens rely on special mechanisms for locating the pen tip,which result in limiting the applicability.Our proposal is to ease this problem-a camera pen that allows us to write on ordinary paper for capturing digital ink. A document image retrieval method called...
Markov decision processes are one of the most popular frameworks for reinforcement learning. The entropy of probability density functions of Markov decision processes is referred to as the stochastic complexity. The stochastic complexity is helpful for tuning the parameters of an action-selection strategy to alleviate the exploration-exploitation dilemma. In this paper, we improve an action-selection...
Stochastic decision processes in reinforcement learning are usually formulated as Markov decision processes which are stationary and ergodic. However, in fact, some of the stochastic decision processes are not necessarily Markov, stationary, and/or ergodic. In this paper, using an information-theoretic property, we show a class of stochastic decision processes in reinforcement learning in which return...
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