Luca Viano

36 papers A* 12A 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback.
CoRR
Amirhossein Afsharrad, Ruida Zhou, Luca Viano, Sanjay Lall, Mohammad Ghavamzadeh
2026 J jnl
Direct Preference Optimization with Rating Information: Practical Algorithms and Provable Gains.
CoRR
Luca Viano, Ruida Zhou, Yifan Sun, Mahdi Namazifar, Volkan Cevher, Shoham Sabach, Mohammad Ghavamzadeh
2026 J jnl
Multi-Step Alignment as Markov Games: An Optimistic Online Mirror Descent Approach with Convergence Guarantees.
Trans. Mach. Learn. Res.
Yongtao Wu, Luca Viano, Kimon Antonakopoulos, Yihang Chen, Zhenyu Zhu, Quanquan Gu, Volkan Cevher
2026 J jnl
Multi-agent imitation learning with function approximation: Linear Markov games and beyond.
CoRR
Luca Viano, Till Freihaut, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2026 J jnl
Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution.
CoRR
Adam Barla, Emanuele Nevali, Luca Viano, Volkan Cevher
2025 A* conf
Best of Both Worlds: Regret Minimization versus Minimax Play.
ICML
Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher
2025 J jnl
Best of Both Worlds: Regret Minimization versus Minimax Play.
CoRR
Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher
2025 A* conf
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic.
ICML
Stefano Viel, Luca Viano, Volkan Cevher
2025 J jnl
IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic.
CoRR
Stefano Viel, Luca Viano, Volkan Cevher
2025 J jnl
Inverse Q-Learning Done Right: Offline Imitation Learning in Q
CoRR
Antoine Moulin, Gergely Neu, Luca Viano
2025 J jnl
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning.
CoRR
Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2025 J jnl
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees.
CoRR
Yongtao Wu, Luca Viano, Yihang Chen, Zhenyu Zhu, Kimon Antonakopoulos, Quanquan Gu, Volkan Cevher
2025 A* conf
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning.
COLT
Antoine Moulin, Gergely Neu, Luca Viano
2025 J jnl
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning.
CoRR
Antoine Moulin, Gergely Neu, Luca Viano
2025 J jnl
Rate optimal learning of equilibria from data.
CoRR
Till Freihaut, Luca Viano, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
2024 — conf
Convergence to Equilibrium of No-Regret Dynamics in Congestion Games.
WINE
Volkan Cevher, Wei Chen, Leello Dadi, Jing Dong, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Baoxiang Wang, Siwei Wang, Jingyu Wu
2024 A* conf
Imitation Learning in Discounted Linear MDPs without exploration assumptions.
ICML
Luca Viano, Stratis Skoulakis, Volkan Cevher
2024 J jnl
Imitation Learning in Discounted Linear MDPs without exploration assumptions.
CoRR
Luca Viano, Stratis Skoulakis, Volkan Cevher
2024 J jnl
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games.
CoRR
Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher
2023 A* conf
Alternation makes the adversary weaker in two-player games.
NeurIPS
Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
2023 J jnl
Provable benefits of general coverage conditions in efficient online RL with function approximation.
CoRR
Fanghui Liu, Luca Viano, Volkan Cevher
2023 J jnl
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
CoRR
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
2023 A* conf
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
ICML
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
2023 A* conf
What can online reinforcement learning with function approximation benefit from general coverage conditions?
ICML
Fanghui Liu, Luca Viano, Volkan Cevher
2022 A* conf
A Natural Actor-Critic Framework for Zero-Sum Markov Games.
ICML
Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher
2022 A* conf
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning.
NeurIPS
Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
2022 J jnl
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning.
CoRR
Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
2022 J jnl
Neural NID Rules.
CoRR
Luca Viano, Johanni Brea
2022 A* conf
Proximal Point Imitation Learning.
NeurIPS
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
2022 J jnl
Proximal Point Imitation Learning.
CoRR
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
2022 A conf
Robust Learning from Observation with Model Misspecification.
AAMAS
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
2022 J jnl
Robust Learning from Observation with Model Misspecification.
CoRR
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
2022 A* conf
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration.
NeurIPS
Fanghui Liu, Luca Viano, Volkan Cevher
2022 J jnl
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration.
CoRR
Fanghui Liu, Luca Viano, Volkan Cevher
2021 A* conf
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.
NeurIPS
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
2020 J jnl
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch.
CoRR
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher