View Proposal

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Proposer

Radu-Casian Mihailescu

Title

Deep Reinforcement Learning Applications

Goal

Description

(Deep)Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones. The general framework of RL makes it suitable for a large number of applications including autonomous driving, financial services, healthcare, natural language processing, etc. The aim of this projects is to develop and evaluate an RL agent for a specific application domain.

Resources

Background

AI/ML

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

0

Supervisor

Radu-Casian Mihailescu

Keywords

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Design in Games Design and Development
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science