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## Overview
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**EAWM** (Event-Aware World Models) is an event-aware world model framework for reinforcement learning. In addition to conventional observation prediction, EAWM explicitly models events so that the world model can learn sparser and more interpretable environment dynamics. The repository includes experiments on Atari, DeepMind Control Suite, DMC-GB2, and Craftax.
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## Using Checkpoints
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## Overview
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**EAWM** (Event-Aware World Models) is an event-aware world model framework for reinforcement learning. In addition to conventional observation prediction, EAWM explicitly models events so that the world model can learn sparser and more interpretable environment dynamics. The repository includes experiments on Atari, DeepMind Control Suite, DMC-GB2, and Craftax.
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<div align="center">
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<img src="https://github.com/MarquisDarwin/EAWM/blob/master/results/results.png" height="220" />
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</div>
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## Using Checkpoints
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