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
Reinforcement Learning (DQN, PPO, MCTS+DQN) for the classical game Bomberman.
This repository contains the code for an agent playing the classical game Bomberman. Three main approaches are implemented:
Reinforcement Learning (DQN, PPO, MCTS+DQN) for the classical game Bomberman.