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Found 2 papers, 1 papers with code
Towards the design of user-centric strategy recommendation systems for collaborative Human-AI tasks
While these strategy recommendation schemes have been explored independently in prior work, our study is novel in that we employ all of them simultaneously and in the context of strategy recommendations, to provide us an in-depth overview of the perception of different strategy recommendation systems.
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting
Leveraging a game environment, we collect a dataset of over 1000 examples, mapping language strategies to the corresponding goals and constraints, and show that our model, trained on this dataset, significantly outperforms human interpreters in inferring strategic intent (i. e., goals and constraints) from language (p < 0. 05).
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