Self-Navigation Car using Reinforcement Learning

Authors

  • Dr. Rafi U Zaman Associate Professor, Department of IT, Muffakham Jah College of Engineering and Technology, Hyderabad, INDIA
  • Syed Mujtaba Student, Department of IT, Muffakham Jah College of Engineering and Technology, Hyderabad, INDIA
  • Mirza Jawad Ali Student, Department of IT, Muffakham Jah College of Engineering and Technology, Hyderabad, INDIA
  • M. Saaduddin Ahmed Student, Department of IT, Muffakham Jah College of Engineering and Technology, Hyderabad, INDIA

DOI:

https://doi.org/10.31033/ijemr.9.3.01

Keywords:

Heuristic, Reinforcement Learning, Reward Function, Self-Driven Car

Abstract

In this paper, a project is described which is a 2-D modelled version of a car that will learn how to drive itself. It will have to figure everything out on its own. In addition, to achieve that the simulator contains a car running simultaneously &can be controlled by different control algorithms - heuristic, reinforcement learning-based, etc. For each dynamic input, the Reinforcement- Learning modifies new patterns. Ultimately, Reinforcement Learning helps in maximizing the reward from every state. In this first Part, we will implement a Reinforcement-Learning model to build an AI for Self Driving Car. Project will be focusing on the brain of the car not any graphics. The car will detect obstacles and take basic actions. To make autonomous car or self-driving car a reality, some of the factors to be considered are human safety and quality of life.

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Published

2019-06-29

How to Cite

Dr. Rafi U Zaman, Syed Mujtaba, Mirza Jawad Ali, & M. Saaduddin Ahmed. (2019). Self-Navigation Car using Reinforcement Learning. International Journal of Engineering and Management Research, 9(3), 26–29. https://doi.org/10.31033/ijemr.9.3.01

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Section

Articles