Reinforcement Learning for DeepRacer competitionLaajuus (5 cr)
Course unit code: TE00CZ12
General information
- Credits
- 5 cr
- Responsible person
- Golnaz Sahebi
Objective
DRAFT
Understand and implement reinforcement learning principles specifically in the context of autonomous driving using AWS DeepRacer.
Build, train, and evaluate RL models in the AWS DeepRacer console.
Design effective reward functions for driving tasks.
Use AWS tools like SageMaker and the DeepRacer simulator for RL model training.
Optimize the performance of RL models to achieve faster, more accurate lap times.
Compete in virtual and physical AWS DeepRacer competitions.