Essays about: "reinforcement theory"
Showing result 6 - 10 of 73 essays containing the words reinforcement theory.
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6. ‘If You Wait for the Right Moment, It Might Never Come – Do It Now’ : A Study of Discourse on Reproduction and Representations of Parenthood in Bulgarian Media Initiatives to Stimulate a Higher Birth Rate
University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Abstract : This study examines the discourses on reproduction and parenthood produced through media initiatives aimed at stimulating a higher birth rate in Bulgaria. It focuses on gender inequality issues in Bulgaria through the lenses of feminist media theory, cultural studies and theoretical frameworks from critical discourse analysis. READ MORE
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7. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space
University essay from KTH/Skolan för teknikvetenskap (SCI); KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE
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8. The impact of error awareness on error-related negativity : A review and meta-analysis
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : In this systematic review and meta-analysis, the relationship between error awareness and the amplitude of Error-Related Negativity (ERN), a neural response to errors associated with cognitive control and error monitoring processes, was examined. Five studies published between 2010 and 2020, involving a total of 302 participants, were analyzed. READ MORE
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9. Neural Network Based Control Design for a Unicycle System
University essay from Linköpings universitet/ReglerteknikAbstract : Physics-based models of dynamical systems can take a lot of time and be hard to derive, and there will always be some effect that was not added to the calculations, like aerodynamic-, gyroscopic- or frictional- effects. Calculating all these effects takes time and a lot of knowledge of the system dynamics. READ MORE
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10. Fine-tuning a LLM using Reinforcement Learning from Human Feedback for a Therapy Chatbot Application
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of AI and machine learning has seen exponential growth in the last decade and even more so in the recent year with the considerable public interest in Large Language models (LLMs) such as chat-GPT. LLMs can be used for several purposes, but one possible application would be fine-tuning a model to perform a particular function in a specific field. READ MORE