Browsing PhD Dissertations - DO NOT EDIT by Subject "Reinforcement learning"

Now showing items 1-5 of 5

    • Learning Representations Using Reinforcement Learning 

      Bose, Sourabh; 0000-0002-1504-8942 (2019-05-09)
      The framework of reinforcement learning is a powerful suite of algorithms that can learn generalized solutions to complex decision making problems. However, the applications of reinforcement learning algorithms to traditional ...

    • LEARNING ROBOT MANIPULATION TASKS VIA OBSERVATION 

      Theofanidis, Michail (2019-12-06)
      The coexistence of humans and robots has been the aspiration of many scientific endeavors in the past century. Most anthropomorphic or industrial robots are highly articulated and complex machines, which are designed to ...

    • LEARNING TRANSFERABLE META-POLICIES FOR HIERARCHICAL TASK DECOMPOSITION AND PLANNING COMPOSITION 

      Djurdjevic, Predrag (2019-12-16)
      In real world scenarios where situated agents are faced with dynamic, high-dimensional, partially observable environments with action and reward uncertainty, the traditional states space Reinforcement Learning (RL) becomes ...

    • Neural Network Architecture Optimization Using Reinforcement Learning 

      Vadhera, Raghav; 0009-0006-0679-3904 (2023-05-19)
      Deep learning has emerged as an increasingly valuable tool, employed across a myriad of applications. However, the intricacies of deep learning systems, stemming from their sensitivity to specific network architectures, ...

    • On-Line Environment Adaptation for User Performance Optimization 

      Sarkar, Subharag (2023-08-14)
      In today’s fast-paced and globally connected world, businesses are creating products with more significance to user personalization and customization. This has amplified the importance of capturing and learning user ...