Suman deb (92 risultati)

Condizione: As New. Unread book in perfect condition. Roy, Suman Deb (illustratore).

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Condizione: New. What's Your Poison?: How Cocktails Got Their Names (Paperback or Softback). Roy, Suman Deb (illustratore).

Paperback. Condizione: New. Roy, Suman Deb (illustratore).

Condizione: New. Roy, Suman Deb (illustratore).

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Condizione: As New. Unread book in perfect condition. Roy, Suman Deb (illustratore).

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Technical Report from the year 2019 in the subject Engineering - Robotics, grade: 9, , language: English, abstract: Robotic agents can be made to learn various tasks through simulating many years of robotic interaction with the environment which cannot be made in case of real robots. With the abundance of a large amount of replay data and the increasing fidelity of simulators to implement complex physical interaction between the robots and the environment, we can make them learn various tasks that would require a lifetime to master. But, the real benefits of such training are only feasible, if it is transferable to the real machines. Although simulations are an effective environment for training agents, as they provide a safe manner to test and train agents, often in robotics, the policies trained in simulation do not transfer well to the real world. This difficulty is compounded by the fact that oftentimes the optimization algorithms based on deep learning exploit simulator flaws to cheat the simulator in order to reap better reward values. Therefore, we would like to apply some commonly used reinforcement learning algorithms to train a simulated agent modelled on the Aldebaran NAO humanoid robot.The problem of transferring the simulated experience to real life is called the reality gap. In order to bridge the reality gap between the simulated and real agents, we employ a Difference model which will learn the difference between the state distributions of the real and simulated agents. The robot is trained on two basic tasks of navigation and bipedal walking. Deep Reinforcement Learning algorithms such as Deep Q-Networks (DQN) and Deep Deterministic Policy Gradients(DDPG) are used to achieve proficiency in these tasks. We then evaluate the performance of the learned policies and transfer them to a real robot using a Difference model based on an addition to the DDPG algorithm.…

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Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.

Paperback. Condizione: Brand New. 329 pages. 9.25x6.10x0.91 inches. In Stock.

Condizione: New. pp. 470.

Paperback. Condizione: New. Roy, Suman Deb (illustratore).

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Paperback. Condizione: Brand New. 488 pages. 9.25x6.10x1.10 inches. In Stock.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the refereed proceedings of theSecond International Conference onComputational Intelligence, Security and Internet of Things,ICCISIoT 2019, held in Agartala, India, in December 2019.The 31 full papers and 6 short papers were carefully reviewed and selected from 153 submissions. The papers are organised according to the following topics: Computational Intelligence, Security, Internet of Things. Papers from the extended track are also presented in the volume.…