DEEP Q NETWORK IMPLEMENTATION FOR FIGHTINGICE GAME
Reinforcement Learning is one of machine learning study where agents try to take action to maximize cumulative rewards. For that purpose, the agent saves the expected reward inside QTable. The need for memory for Q-Table can be replaced by using neural network to predict the Q-Value. This method is...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/43577 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |