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Filtering by: 2024-06-24 Subject Reinforcement learning

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Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

Description:

The challenges of using inadequate online recruitment systems can be addressed with machine learning and software engineering techniques. Bi-directional personalization reinforcement learning-based architecture with active learning can get recruiters to recommend qualified applicants and also enable applicants to receive personalized job recommendations. This paper focuses on how machine learning...

Keyword:

Reinforcement learning, Active learning, Contextual Bandit, NLP, NER, Sentiment Analysis, Counter factual Evaluation, Travel Industry, Unit tests, Serverless Functions, Language Understanding, Azure Cosmos DB, Serverless Functions, Azure Personalizer,

Subject:

Natural language processing (Computer science), Artificial intelligence, Sentiment analysis, Reinforcement learning, and Machine learning

Creator:

Ezana N. Beyenne

Owner:

Ezana Negga Beyenne

Publisher:

Data Science Masters Theses

Date Uploaded:

03/15/2023

Date Modified:

03/15/2023

Resource Type:

Dissertation and Masters Thesis
Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications

Description:

Attitude control in quadrotor Unmanned Aerial Vehicle (UAV) systems is traditionally managed by optimal control loops tuned to minimize errors in performance. While robust, these loops perform sub-optimally in dynamic and unpredictable environments which inspire new interest in sophisticated solution and approaches such as reinforcement learning (RL) approaches which should...

Keyword:

Intelligent Systems, Reinforcement Learning, Quadcopters, Learning and Adaptive Systemsons, Aerial Systems: Mechanics and Control, Proximal Policy Optimization, Drones, and Attitude Control

Subject:

Space vehicles--Attitude control systems, Proximal Policy Optimization, Reinforcement learning, Policy Gradient, Drone aircraft, and Machine learning

Creator:

Stephen Kleppinger,

Contributor:

Bharadwaj, Shreenidhi (advisor)

Owner:

Stephen Michael Kleppinger

Publisher:

Northwestern University

Language:

English

Date Uploaded:

04/05/2022

Date Modified:

04/05/2022

Date Created:

12-2021

Resource Type:

Masters Thesis

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Bi-directional personalization reinforcement learning-based architecture with active learning using a multi-model data service for the travel nursing industry

Comparison of Traditional Optimal Control Methodologies to Reinforcement Learning Agents in Quadcopter Attitude Control Applications

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