Skip to content

This repository is still in progress, it contains the file created to the master's thesis about the develop of a DRL control for a quadrupedal robot.

Notifications You must be signed in to change notification settings

paogam1997/Deep-Reinforcement-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

  • AnalisiTracking: File to characterize the results of velocity tracking tests. You insert the data collected and the file creates comparison and characterization plots.

  • Curriculum_Terrain: File to compare the terrains projected.

  • DomainRandomization: File to help the design of the Domain Randomization of OmniveseGym of Isaac-Sim API. You set the same parameters that you would use in the training and the code automatically adapts to the parameters used and shows in the command window a recap of the randomization used. You can see how the parameters will change during the training.

  • FadingFilter_usage: Implementation of many fading filters and Kalman filter to smooth the imu data.

  • Reward: File to design the reward function.

About

This repository is still in progress, it contains the file created to the master's thesis about the develop of a DRL control for a quadrupedal robot.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published