Implement a reinforcement learning model which can play Tetris
| agent.py | ||
| enviroment.py | ||
| game.py | ||
| network.py | ||
| README.md | ||
| train.py | ||
TetrisRL
- Implement a reinforcement learning model which can play Tetris
Version 0
- Policy Gradient Algorithm
- Reward Delay
- Bad Performance
TODO
- change reward function
- reward baseline
- DQN