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Found 3 papers, 1 papers with code
Leveraging AI to improve human planning in large partially observable environments
To bridge this gap, we developed the first metareasoning algorithm for discovering resource-rational strategies for human planning in partially observable environments.
Optimal To-Do List Gamification for Long Term Planning
We test the accuracy of the incentivised to-do list by comparing the performance of the strategy with the points computed exactly using Value Iteration for a variety of case studies.
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning
Future work can leverage our method to develop decision support systems that improve human decision making in the real world.
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