Author

Adam Wierman

2 papers indexed here

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Preprint Sep 2026

Strategic Decision Focused Learning

This paper formalizes strategic decision-focused learning, where an ML system predicts an exogenous state that some agents observe before playing a game, and shows the prediction accuracy-equilibrium payoff landscape can be non-monotonic, i.e., better predictions can degrade performance.

Tinashe Handina, Yu-Cun Diao, Adam Wierman et al. · 0 citations

#artificial intelligence Conference Sep 2026

Online Robust Reinforcement Learning Through Monte-Carlo Planning

A new robust variant of MCTS that mitigates dynamical model ambiguities to bridge the gap between simulation-based planning and real-world deployment and empirical evidence is provided that this method achieves robust performance in planning problems even under significant ambiguity in the underlying reward distributio...

T. Dam, Kishan Panaganti, Brahim Driss et al. · International Conference on... · 4 citations