DataFunTalk
Dec 10, 2019 · Artificial Intelligence
Applying Deep Reinforcement Learning (DQN) to the 2048 Game: Experiments and Insights
This article details a series of reinforcement‑learning experiments on the 2048 game, from random baselines through DQN implementations, classical value‑iteration methods, network redesigns, and Monte‑Carlo tree search, highlighting challenges such as reward design, over‑estimation, and exploration while achieving scores up to 34 000 and tiles of 2048.
2048AIDQN
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