DiffG-RL: Leveraging Difference between Environment State and Common Sense (2022.findings-emnlp)
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| Challenge: | Existing approaches to solving text-based games require background knowledge as the context is important. |
| Approach: | They propose a novel agent that organizes environment states and common sense by interactive objects with a dedicated graph encoder. |
| Outcome: | The proposed agent outperforms baselines in text-based games by 17% of scores. |
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Yixia Li, Hongru Wang, Jiahao Qiu, Zhenfei Yin, Dongdong Zhang, Cheng Qian, Zeping Li, Xiaoteng Ma, Guanhua Chen, Heng Ji
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