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Introduction An agent learns to make decisions by interacting with its surroundings in a type of machine learning known as reinforcement learning. By getting feedback for its activities in the form of incentives or penalties, the agent learns. Robotics, video games, and self-driving cars are just a few examples of the many applications for reinforcement learning. We will thoroughly examine the theories and methods underlying reinforcement learning in this article. Propositional Logic based Agent: A Comprehensive Overview Throughout the last few decades, the field of artificial intelligence (AI) has experienced significant advancement. Scientists and researchers are developing a variety of ... Read More
Scheduling algorithms play a crucial role in managing the execution of tasks in operating systems and real-time systems. Two common scheduling approaches are table-driven scheduling and cyclic scheduling. These approaches have distinct characteristics and are suitable for different types of systems and scheduling requirements. What is Table-driven Scheduling? Table-driven scheduling, also known as static scheduling, involves creating a predefined table that specifies the execution order and time requirements for each task or process. The table contains a schedule for the entire duration of the system's operation. The scheduler follows the table to determine which task should execute at a given ... Read More
JavaScript is a dynamic and most popular programming language which can be used on both client side and server side. JavaScript is used to create interactive web pages. It has many frameworks such as React JS, Angular JS, Node JS etc., JavaScript contains many inbuilt functions to perform various tasks. There are functions that are used to manipulate the strings. Str.slice and str.substring are two of those inbuit functions that can manipulate strings. Although the functionalities of both the functions are almost similar, there are a few differences between them String.slice() Method This method returns a part of the string ... Read More
Introduction For the past few years, generative models have attracted a lot of attention in the deep learning community. Among these, Adversarial Autoencoders (AAEs) and Generative Adversarial Networks (GANs) are two of the most well-liked models for producing realistic images. While AAEs are more adapted to producing various images that accurately capture the core of the training data, GANs are better suited to producing high-quality images that closely resemble the training data. We will talk about choosing GAN and AAE models for problems involving image generation in this article. Generative Adversarial Network (GAN) Ian Goodfellow introduced generative adversarial networks (GANs) ... Read More
The concepts of stimulus and response events play a crucial role in understanding how systems and programs interact with each other and with their environment. These terms are often used in the context of event-driven programming, where software components respond to various events triggered by user actions or other system events. In this article, we will explore the fundamental differences between stimulus and response events and delve into their significance in computer science. What are Stimulus Events? Stimulus events can be thought of as triggers or inputs that initiate a particular action or behavior within a system. These events can ... Read More
Introduction An agent learns to make decisions by interacting with its surroundings in a type of machine learning known as reinforcement learning. By getting feedback for its activities in the form of incentives or penalties, the agent learns. Robotics, video games, and self-driving cars are just a few examples of the many applications for reinforcement learning. We will thoroughly examine the theories and methods underlying reinforcement learning in this article. Reinforcement Learning A subset of machine learning called reinforcement learning emphasizes learning via feedback. The interaction between an agent and its environment is used to model the learning process. By ... Read More
SSTF (Shortest Seek Time First) and LOOK are both disk scheduling algorithms used in operating systems to optimize the order in which disk requests are serviced. While they share the goal of minimizing disk seek time, they employ different strategies to achieve this. SSTF Disk Scheduling Algorithm The Shortest Seek Time First (SSTF) disk scheduling algorithm is a widely used approach in operating systems to optimize disk access time. It aims to reduce the total seek time by selecting the disk request that requires the least movement of the disk arm from its current position. In this article, we will ... Read More
Disk scheduling algorithms are used to determine the order in which disk requests are serviced, aiming to minimize disk head movements and optimize disk access time. Two commonly used disk scheduling algorithms are Shortest Seek Time First (SSTF) and C-LOOK. While both algorithms aim to improve disk performance, they have distinct approaches and characteristics. SSTF (Shortest Seek Time First) Disk Scheduling Algorithm SSTF is a disk scheduling algorithm that selects the request with the shortest seek time from the current head position to the next request. Some key features of SSTF (Shortest Seek Time First) Disk Scheduling Algorithm. Here ... Read More
CPU scheduling algorithms play a crucial role in determining the order in which processes or tasks are executed on a computer's central processing unit (CPU). Two commonly used algorithms for CPU scheduling are Shortest Remaining Job First (SRJF) and Longest Remaining Job First (LRJF). These algorithms prioritize tasks based on their remaining execution time. In this explanation, we will discuss the differences between SRJF and LRJF scheduling algorithms. Shortest Remaining Job First (SRJF) SRJF is a non-preemptive scheduling algorithm where the process with the shortest remaining execution time is selected for execution next. It aims to minimize the average waiting ... Read More
With the help of Microsoft Excel, you may manage and examine data in a variety of ways. The ability to attach photos to URLs is one of its less well-known features. When you have a collection of photographs and wish to link each one to a particular website or document, this might be really helpful. We'll go over step-by-step how to extract hyperlinks from multiple photos in Excel in this article. You will have a comprehensive grasp of how to extract hyperlinks from numerous photos in Excel at the end of this course, enabling you to work with your image ... Read More