Playing 2048 With Reinforcement Learning

20 Oct 2021  ·  Shilun Li, Veronica Peng ·

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.

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Datasets


Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Playing the Game of 2048 The Game of 2048 Beam Search Average Score 1024 # 4
Playing the Game of 2048 The Game of 2048 DQN (1000 episodes) Average Score 256 # 5

Methods