Playing 2048 With Reinforcement Learning
Shilun Li, Veronica Peng
Abstract
The game of 2048 is a highly addictive game. It is easy to learn the game, but hard to master as the created game revealed that only about 1% games out of hundreds million ever played have been won. In this paper, we would like to explore reinforcement learning techniques to win 2048. The approaches we have took include deep Q-learning and beam search, with beam search reaching 2048 28.5 of time.
Results
| Task | Dataset | Metric | Value | Model |
|---|---|---|---|---|
| Playing the Game of 2048 | The Game of 2048 | Average Score | 1024 | Beam Search |
| Playing the Game of 2048 | The Game of 2048 | Average Score | 256 | DQN (1000 episodes) |
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