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Automatic discovery and description of human planning strategies

Our work focuses on automatic extraction of planning strategies used by people in decision-making experiments. The method we introduce …

Julian Skirzyński, Yash Raj-Jain, Falk Lieder

Automatic discovery and description of human planning strategies

Boosting human decision-making with AI-generated decision aids

Here, we test if planning strategies discovered automatically through our reinforcement learning pipeline from this work can improve …

Frederic Becker, Julian Skirzyński, Bas van Opheusden, Falk Lieder

Boosting human decision-making with AI-generated decision aids

Automatic discovery of interpretable planning strategies

We present an imitation learning method for generating an intepretable description of any RL policy in form of a decision tree. We also apply that method in our pipeline for discovering clever decision heuristics using RL, and show how people’s decision making improves when they use the automatically found decsriptions as decision aids.

Julian Skirzyński, Frederic Becker, Falk Lieder

Automatic discovery of interpretable planning strategies