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3 months ago

Playing 2048 With Reinforcement Learning

Shilun Li Veronica Peng

Playing 2048 With Reinforcement Learning

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.

Code Repositories

Benchmarks

BenchmarkMethodologyMetrics
2048-on-2048Beam Search
Average Score: 1024
2048-on-2048DQN (1000 episodes)
Average Score: 256

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Playing 2048 With Reinforcement Learning | Papers | HyperAI