82 citations · 98 across the 26 of their papers we have counts for
3 papers · 1 filter
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim +2
Policy Optimization (PO) algorithms have been proven particularly suited to handle the high-dimensionality of real-world continuous control tasks. In this context, Trust Region Pol…
Do you pay for Privacy in Online learning?
Amartya Sanyal, Giorgia Ramponi
Online learning, in the mistake bound model, is one of the most fundamental concepts in learning theory. Differential privacy, instead, is the most widely used statistical concept…
Active Exploration for Inverse Reinforcement Learning
David Lindner, Andreas Krause, Giorgia Ramponi
Inverse Reinforcement Learning (IRL) is a powerful paradigm for inferring a reward function from expert demonstrations. Many IRL algorithms require a known transition model and som…