Author

Lorenzo Magnino

2 papers indexed here

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Review Oct 2026

Learning Robot Metareasoning: Adaptive Computation Budgets for Real-Time Control

Across ground-robot navigation, agile quadrotor flight, and contact-rich manipulation, the learned policy changes its budget with the demands of the scenario, discovering efficient reasoning patterns that outperform fixed-budget baselines.

Lorenzo Magnino, Antonio Marino, Michael Amir et al. · 0 citations

#artificial intelligence Preprint Oct 2026

GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories

GAMBIT is an opening chess move in which a player sacrifices a piece, typically a pawn, to gain a positional advantage later in the game. Analogously, in multi-robot coordination, individual robots may need to forgo locally reward-maximising behaviours to improve overall team performance. Such self-sacrificial behaviou...

Rishabh Jain, A. Moldagalieva, Lorenzo Magnino et al. · 0 citations