نتایج جستجو برای: Reinforcement Learning

تعداد نتایج: 619520  

Journal: :journal of computer and robotics 0
maziar ahmad sharbafi university of tehran caro lucas university of tehran aida mohammadinejad khaje nasir toosi university

in this paper, an intelligent controller is applied to control omni-directional robots motion. first, the dynamics of the three wheel robots, as a nonlinear plant with considerable uncertainties, is identified using an efficient algorithm of training, named lolimot. then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. this emotional lea...

Journal: :journal of artificial intelligence in electrical engineering 2014
mohammad esmaeil akbari noradin ghadimi

in this paper an adaptive pid controller for wind energy conversion systems (wecs) has been developed. theadaptation technique applied to this controller is based on reinforcement learning (rl) theory. nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

Journal: :iranian journal of fuzzy systems 2015
a. mousavi m. nili ahmadabadi h. vosoughpour b. n. araabi n. zaare

this article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for reinforcement learning agents. these definitions are used as a tool of knowledge transfer among agents. the agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. in other words, the agents are assumed t...

Journal: :journal of ai and data mining 2015
v. derhami j. paksima h. khajah

the main challenge of a search engine is ranking web documents to provide the best response to a user`s query. despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. in this paper, a ranking algorithm based on the reinforcement le...

Wireless Sensor Networks (WSNs) are consist of independent distributed sensors with storing, processing, sensing and communication capabilities to monitor physical or environmental conditions. There are number of challenges in WSNs because of limitation of battery power, communications, computation and storage space. In the recent years, computational intelligence approaches such as evolutionar...

Journal: :international journal of advanced biological and biomedical research 2014
ahmad ghanbari yasaman vaghei sayyed mohammad reza sayyed noorani

in recent years, researches on reinforcement learning (rl) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. neural network reinforcement learning (nnrl) is among the most popular algorithms in the rl framework. the advantage of using neural networks enables the rl to search for optimal policies more efficiently in several real-life applicat...

Journal: :iranian journal of psychiatry and behavioral sciences 0
ali akbar rahmatian webster university, lakeland, florida usa

objective: the purpose of this study was to identify reasons domestic violence occurs within intimate relationships. methods: the target group was female victims and male offenders. the offenders group consisted of 25 men from a batterer’s intervention group. the victims group composed of 9 women from center against spouse abuse (casa) intervention group. results: domestic violence occurred at ...

Ahmad Ghanbari Sayyed Mohammad Reza Sayyed Noorani Yasaman Vaghei,

In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...

Journal: :journal of optimization in industrial engineering 2010
isa nakhaei kamalabadi parham azimi mohammad varmaghani

nowadays, outsourcing is viewed as a trade strategy and organizations tend to adopt new strategies to achieve competitive advantages in the current world of business. focusing on main copmpetencies, and transferring most of activities to outside resources of organization( outsourcing) is one such strategy is. in this paper, we aim to decide on decision maker agent of transportation system, by a...

Ahmad Ghanbari Sayyed Mohammad Reza Sayyed Noorani Yasaman Vaghei,

In recent years, researches on reinforcement learning (RL) have focused on bridging the gap between adaptive optimal control and bio-inspired learning techniques. Neural network reinforcement learning (NNRL) is among the most popular algorithms in the RL framework. The advantage of using neural networks enables the RL to search for optimal policies more efficiently in several real-life applicat...

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