Speed-contingent reinforcement
نویسندگان
چکیده
منابع مشابه
Contingent Features for Reinforcement Learning
Applying reinforcement learning algorithms in real-world domains is challenging because relevant state information is often embedded in a stream of high-dimensional sensor data. This paper describes a novel algorithm for learning task-relevant features through interactions with the environment. The key idea is that a feature is likely to be useful to the degree that its dynamics can be controll...
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Noncontingent reinforcement (NCR) can be described as time-based or response-independent delivery of stimuli with known reinforcing properties. Previous research has shown NCR to reduce problem behavior in individuals with developmental disabilities and to interfere with the acquisition of more desired alternative behavior. To date, however, little research has examined the effects of NCR on ch...
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Maternal vocal imitation of infant vocalizations is highly prevalent during face-to-face interactions of infants and their caregivers. Although maternal vocal imitation has been associated with later verbal development, its potentially reinforcing effect on infant vocalizations has not been explored experimentally. This study examined the reinforcing effect of maternal vocal imitation of infant...
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The role of contingency learning was examined in 3-month-old infants’ reaching movements. Infants in the experimental group experienced 9 min of active training during which they could move their arms in a reach-like fashion to pull and move a mobile. Infants in the control group experienced 9 min of passive training during which they watched a mobile move. Prior to (pre-training) and following...
متن کاملSearching for Plannable Domains can Speed up Reinforcement Learning
Reinforcement learning (RL) involves sequential decision making in uncertain environments. The aim of the decision-making agent is to maximize the benefit of acting in its environment over an extended period of time. Finding an optimal policy in RL may be very slow. To speed up learning, one often used solution is the integration of planning, for example, Sutton’s Dyna algorithm, or various oth...
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ژورنال
عنوان ژورنال: Psychonomic Science
سال: 1965
ISSN: 0033-3131,2197-9952
DOI: 10.3758/bf03343150