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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

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

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