Grigorii Veviurko

2 accepted papers

2026

Sufficient Decision Proxies for Decision-Focused Learning

Noah Schutte, Grigorii Veviurko, Krzysztof Postek, Neil Yorke-Smith

IJCAI 2026

When solving optimization problems under uncertainty with contextual data, utilizing machine learning to predict the uncertain parameters' values is a popular and effective approach. Decision-focused learning (DFL) aims at learning a predictive model such that decision quality, instead of prediction

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2024

To the Max: Reinventing Reward in Reinforcement Learning

Grigorii Veviurko, Wendelin Boehmer, Mathijs de Weerdt

ICML 2024poster

In reinforcement learning (RL), different reward functions can define the same optimal policy but result in drastically different learning performance. For some, the agent gets stuck with a suboptimal behavior, and for others, it solves the task efficiently. Choosing a good reward function is hence…

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