منابع مشابه
iqLearn: Interactive Q-Learning in R.
Chronic illness treatment strategies must adapt to the evolving health status of the patient receiving treatment. Data-driven dynamic treatment regimes can offer guidance for clinicians and intervention scientists on how to treat patients over time in order to bring about the most favorable clinical outcome on average. Methods for estimating optimal dynamic treatment regimes, such as Q-learning...
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Conventional reinforcement learning (RL) requires the specification of a numeric reward function, which is often a difficult task. In this paper, we extend the Q-learning approach toward the handling of ordinal rewards. The method we propose is interactive in the sense of allowing the agent to query a tutor for comparing sequences of ordinal rewards. More specifically, this method can be seen a...
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Anxiety disorders are the most common reasons for referring to specialized clinics. If the response to stress changed, anxiety can be greatly controlled. The most obvious effect of stress occurs on circulatory system especially through sweating. the electrical conductivity of skin or in other words Galvanic Skin Response (GSR) which is dependent on stress level is used; beside this parameter pe...
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Nowadays project management is a key component in introductory operations management. The educators and the researchers in these areas advocate representing a project as a network and applying the solution approaches for network models to them to assist project managers to monitor their completion. In this paper, we evaluated project’s completion time utilizing the Q-learning algorithm. So the ...
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Bottom-Up (BU) saliency models do not perform well in complex interactive environments where humans are actively engaged in tasks (e.g., sandwich making and playing the video games). In this paper, we leverage Reinforcement Learning (RL) to highlight task-relevant locations of input frames. We propose a soft attention mechanism combined with the Deep Q-Network (DQN) model to teach an RL agent h...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2015
ISSN: 1548-7660
DOI: 10.18637/jss.v064.i01