PVB/sepiolite nanocomposites as reinforcement agents for paper
نویسندگان
چکیده
منابع مشابه
Hierarchical Functional Concepts for Knowledge Transfer among Reinforcement Learning Agents
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...
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Silver complexes of poly(amidoamine) (PAMAM) dendrimers as well as different {silver−PAMAM} dendrimer nanocomposite solutions have been tested in vitro against Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli bacteria, using the standard agar overlay method. Both PAMAM silver salts and nanocomposites displayed considerable antimicrobial activity without the loss of solubility...
متن کاملhierarchical functional concepts for knowledge transfer among reinforcement learning agents
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...
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We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes standard features such as parameterized subroutines, temporary interrupts, aborts, and memory variables, but also allows for unspecified choices in the agent program. For learning that which isn’t specified, we present ...
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Using reinforcement learning [4] (RL), agents can autonomously learn a control policy to master sequential-decision tasks. Rather than always learning tabula rasa, our recent work [5, 7, 8] considers how an experienced RL agent, the teacher, can help another RL agent, the student, to learn. As a motivating example, consider a household robot that has learned to perform tasks in a household. Whe...
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ژورنال
عنوان ژورنال: Journal of the Serbian Chemical Society
سال: 2016
ISSN: 0352-5139,1820-7421
DOI: 10.2298/jsc160506067j