نتایج جستجو برای: learning environment
تعداد نتایج: 1070667 فیلتر نتایج به سال:
one of the most commonly used techniques to reduce the corrosion rate of rebar in concrete is addition substances named corrosion inhibitors into the concrete. corrosion inhibitor is chemical compounds that were added to concrete to prevent corrosion of steel in concrete. sodium nitrate is a type of anodic inhibitors that this study investigatesthe effect of this inhibitor on the properties of ...
Abstract Despite the increasing use of self-regulated learning process in smart environment, understanding concepts from a theoretical perspective and empirical evidence are limited. This study used systematic review to explore models, design tools, support approaches, research on environment. revealed that there is an body literature 2012 2020. The analysis shows critical factor influencing en...
Background : Learning in a clinical environment is an inseparable part of a training program in medical education. To evaluate the quality of training in a clinical environment, a comprehensive questionnaire which is adjusted for local purposes is essential. This study was conducted to determine the validity and reliability of Activities Coaching Context (ACC)-questionnaire from the perspecti...
The purpose of this study was to design an organizational learning environment model for Alborz Gas Company. The research method is Grounded theory. At First, the library studies are conducted to examine the theoretical foundations of the variable and its components. The data were collected using the participatory observation method, the semi-structured interview technique, document analysis, a...
This paper introduces Progressive Reinforcement Learning, which augments standard Q-Learning with a mechanism for transferring experience gained in one problem to new but related problems. In this approach, an agent acquires experience of operating in a simple domain through experimentation. It then engages in a period of introspection, during which it rationalises the experience gained and for...
We introduce two novel tactics for adversarial attack on deep reinforcement learning (RL) agents: strategically-timed and enchanting attack. For strategicallytimed attack, our method selectively forces the deep RL agent to take the least likely action. For enchanting attack, our method lures the agent to a target state by staging a sequence of adversarial attacks. We show that DQN and A3C agent...
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