PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
-
Updated
Feb 16, 2021 - Jupyter Notebook
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
Reinforcement learning, robotics simulation with agent using NAF+HER learning method. Agent's task is to fetch puck to desired position using dynamic contact.
Add a description, image, and links to the normalized-advantage-functions topic page so that developers can more easily learn about it.
To associate your repository with the normalized-advantage-functions topic, visit your repo's landing page and select "manage topics."