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Non-Stationary Lipschitz Bandits
Nicolas Nguyen, Solenne Gaucher, Claire Vernade
We study the problem of non-stationary Lipschitz bandits, where the number of actions is infinite and the reward function, satisfying a Lipschitz assumption, can change arbitrarily…
stat.ML2025
Efficient Risk-sensitive Planning via Entropic Risk Measures
Alexandre Marthe, Samuel Bounan, Aurélien Garivier +1
Risk-sensitive planning aims to identify policies maximizing some tail-focused metrics in Markov Decision Processes (MDPs). Such an optimization task can be very costly for the mos…