With the rapid improvement of large language models capabilities, there has been increasing interest in challenging constrained text generation problems. However, existing benchmarks for constrained generation usually...
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Unlike the traditional stock markets, the 24/7 nature of the cryptocurrency market poses unique challenges and opportunities, particularly in asset trading and management. These dynamic market conditions have accelera...
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For those who ride rickshaws and other three-wheeled transportation, this new work will have a series of innovative elements that are going to be created and interconnected to ensure safety and a beer driving experien...
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ISBN:
(纸本)9798350394474
For those who ride rickshaws and other three-wheeled transportation, this new work will have a series of innovative elements that are going to be created and interconnected to ensure safety and a beer driving experience. In this invention, a pressure plate will be connected to the ESP32 thing plus, the additional end of the ESP32 will be connected to the motor of the three-wheeler by which it commences the power unit. Appropriate restrictions and conditions will be applied with the ESP32 such that if the force on the three-wheeler exceeds the recommended limit, the EPS32 will act as a blockage and the motor will not start, resulting in the three-engine wheeler's not starting until and unless the safety measures of the transportation is not ensured properly. This system of new innovation will also be having a safety check on the lights of the transportation of the three wheeler the ESP32 will be connected to the light bulbs present in the vehicle and if they don't turn on then the same result will happen and the power unit will not get the power for the engine to commence until and unless the lights are fixed and are *** will also be a Emission Gas Detector sensor attached to the exhaust of the vehicle and will monitor the carbon content of the vehicle and if the carbon content exceeds the safe limit the driver of the vehicle will get a warning on his phone and will get a safe me limit to check for the fault if not repaired within the me limit the vehicle will stop at the same spot. There will be an auto braking technology which will be provided in the case of the emergency and these brakes will be attaches to the ESP32 and which check the speed of the vehicle as there will be a proper monitoring of the vehicle through the GPS which will be attached to the ESP32 and will monitor the movement of the vehicle and if the vehicle exceeds the speed limit of that roads those brakes will be applied and the vehicle will be forced to reduce the speed for the safety p
We propose a new Q-learning variant, called 2RA Q-learning, that addresses some weaknesses of existing Q-learning methods in a principled manner. One such weakness is an underlying estimation bias which cannot be cont...
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We propose a new Q-learning variant, called 2RA Q-learning, that addresses some weaknesses of existing Q-learning methods in a principled manner. One such weakness is an underlying estimation bias which cannot be controlled and often results in poor performance. We propose a distributionally robust estimator for the maximum expected value term, which allows us to precisely control the level of estimation bias introduced. The distributionally robust estimator admits a closed-form solution such that the proposed algorithm has a computational cost per iteration comparable to Watkins' Q-learning. For the tabular case, we show that 2RA Q-learning converges to the optimal policy and analyze its asymptotic mean-squared error. Lastly, we conduct numerical experiments for various settings, which corroborate our theoretical findings and indicate that 2RA Q-learning often performs better than existing methods. Copyright 2024 by the author(s)
Dataset bias is a critical issue in medical machine learning models that can significantly impact the efficacy of disease prediction and diminish the ability to generate relevant clinical decisions. To address this pr...
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The classification of the age and gender of face image data is a significant study subject with numerous applications. Convolution Neural Networks (CNNs) model is the effective technique to classify data, particularly...
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In the modern era, the rise of the Internet of Things has sparked apprehensions regarding the security of interconnected embedded devices. This has underscored the urgency of devising effective and efficient approache...
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Sentiment analysis is one of the captivating fields, it focuses on understanding emotions and attitudes expressed in text or symbolic language. In this fast-developing digital environment, communication is vital and n...
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We propose a framework for temporal rule learning from datasets, which capitalises on the availability of increasingly mature Datalog rule learners. Our approach is based on the idea of splitting a temporal dataset in...
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Image classification is a critical domain in computer vision with diverse practical applications. Recent advancements in deep learning have shown significant success in this field, with the COREL 1K dataset serving as...
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