NUST Institutions Library Catalogue Search for 'kw,wrdl: (su-rl:"Value.")'

Mobile robotics: mathematics, models and methods

By Kelly, Alonzo.. . xiv, 701 pages : 27 cm. 9781107031159 (hardback) | 110703115X (hardback)

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Military Basic Electronics E-Book

By US Army Ordnance, Missile and Munitions Center and School. . 121.p

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Engineering circuit analysis (EBOOK)

By Hayt, William Hart,. New York : McGraw-Hill, 2012 . xxi, 852 p. : 26 cm.. 0071317066 (international ed. : pbk.) | 0073529575 | 9780071317061 (international ed. : pbk.) | 9780073529578

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Handbook of biofuels production : processes and technologies /

Oxford ; | Philadelphia : Woodhead Publishing, 2011 . xxiv, 659 pages : 25 cm.. 9781845696795 | 1845696794

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Designing rainwater harvesting systems : integrating rainwater into building systems /

By Novak, Celeste Allen.. . xiii, 294 pages : 25 cm. 9781118410479 (hardback : acidfree paper) | 1118410475 (hardback : acidfree paper)

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Advancements in model-driven architecture in software engineering /

. xix, 287 pages : 29 cm. 9781799836612 | 9781799836629

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Artificial intelligence safety and security /

. xxix, 443 pages : 25 cm.. 9780815369820 (paperback : acidfree paper) | 9781138320840 (hardback : acidfree paper)

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RL based Differential Drive Primitive Policy for Transfer Learning /

By Shahid, Mahrukh . . 52p. , To ensure the steady navigation for robot stable controls are the basic unit and control values selection is highly environment dependent. Adding Generalization to system is the key to reusability of control parameters to ensure adaptability in robots to perform with sophistication, in the environments about which they have no prior knowledge, for this Reinforcement Leaning (RL) based control systems are promising. However, tuning appropriate parameters to train RL algorithm is a challenge. Therefore, we designed a continuous reward function to minimizing the sparsity and stabilizes the policy convergence, to attain control generalization for differential drive robot. We Implemented Twin Delayed Deep Deterministic Policy Gradient-TD3 on Open-AI Gym Race Car. System was trained to achieve smart primitive control policy, moving forward in the direction of goal by maintaining an appropriate distance from walls to avoid collisions. Resulting policy was tested on unseen environments and observed precisely performing results. Upon comparative analysis of TD3 with DDPG, TD3 policy outperformed the DDPG policy in both training and testing phase, proving TD3 to be resource efficient and stable. 30cm.

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Urban street design guide /

. x, 180 pages : , Recommended by Cyrus Qureshi 28 cm. 9781610914949 | 1610914945

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Advances in probiotics : microorganisms in food and health /

. xxiii, 542 pages : 28 cm. 9780128229095 | 0128229098

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Snell's clinical anatomy by regions /

By Wineski, Lawrence E.,. . viii, 822 pages : 28 cm. 9781975194093

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