Skip to content

Reinforcement Learning (DQN, PPO, MCTS+DQN) for the classical game Bomberman.

Notifications You must be signed in to change notification settings

marvinschmitt/DeepLearning-Bomberman

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FML Project

This repository contains the code for an agent playing the classical game Bomberman. Three main approaches are implemented:

  • Deep Q Learning (DQN)
  • Proximal Policy Optimization (PPO)
  • Monte-Carlo Tree Search (MCTS) in conjunction with DQN

About

Reinforcement Learning (DQN, PPO, MCTS+DQN) for the classical game Bomberman.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published