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Kim Guldstrand Larsen

2 accepted papers

2025

RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations

ICML 2025poster

The MuZero reinforcement learning method has achieved superhuman performance at games, and advances that enable MuZero to contend with complex actions now enable use of MuZero-class methods in real-world decision-making applications. However, some real-world applications are susceptible to state per…

Cited by 0SourcePDFScholar
2023

Safety Verification of Decision-Tree Policies in Continuous Time

NeurIPS 2023spotlight

Decision trees have gained popularity as interpretable surrogate models for learning-based control policies. However, providing safety guarantees for systems controlled by decision trees is an open challenge. We show that the problem is undecidable even for systems with the simplest dynamics, and PS…