Riccardo Poiani

Bocconi University Bocconi University Bocconi University

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Publication activitypapers/week, last 8 weeks

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Code Generation & Program Synthesis (1)Eval Frameworks & Benchmarks (1)RLHF & Preference Learning (1)

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Martino Bernasconi (1)Andrea Celli (1)

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Jul 20, 2026

Bocconi University Bocconi UniversityJul 20, 2026·also Bocconi University

Theoretical Foundations of $\max$@$k$ Reinforcement Learning

Learning $\max$@$k$-optimal policies is statistically harder than traditional reinforcement learning, revealing a critical gap in agent evaluation methods.

Riccardo Poiani, Martino Bernasconi, Andrea Celli

Code Generation & Program Synthesis Eval Frameworks & Benchmarks RLHF & Preference Learning

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Riccardo Poiani

Publication activitypapers/week, last 8 weeks

Research focus

Frequent co-authors

Papers (1)