Simulation of drone controller using reinforcement learning AI with hyperparameter optimization
Drone is one of the latest drone technologies that grows with multiple applications; one of the critical applications is for fire-fighting drones such as water hose carrying for firefighting. One of the main challenges of the drone technologies is the non-linear dynamic movement caused by a variety...
Saved in:
Main Authors: | Abu Bakar, Mohamad Hafiz, Shamsudin, Abu Ubaidah, Abdul Rahim, Ruzairi |
---|---|
Format: | Conference or Workshop Item |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/92686/ http://dx.doi.org/10.1109/ICSET51301.2020.9265381 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
by: Mohamad Hafiz Abu Bakar, Mohamad Hafiz Abu Bakar, et al.
Published: (2023) -
Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
by: Abu Bakar, Mohamad Hafiz, et al.
Published: (2023) -
Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
by: Abu Bakar, Mohamad Hafiz, et al.
Published: (2023) -
Comparison Method Q-Learning and SARSA for Simulation of Drone Controller using Reinforcement Learning
by: Abu Bakar, Mohamad Hafiz, et al.
Published: (2023) -
Heart Disease Risk Prediction using Hyperparameter Optimized
Machine Learning with Principal Component Transformed Features
by: KARNA, VISHNU VARDHANA REDDY
Published: (2023)