Viano, Luca

17 publications

TMLR 2026 Multi-Step Alignment as Markov Games: An Optimistic Online Mirror Descent Approach with Convergence Guarantees Yongtao Wu, Luca Viano, Kimon Antonakopoulos, Yihang Chen, Zhenyu Zhu, Quanquan Gu, Volkan Cevher

ICML 2025 Best of Both Worlds: Regret Minimization Versus Minimax Play Adrian Müller, Jon Schneider, Stratis Skoulakis, Luca Viano, Volkan Cevher

ICML 2025 IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Stefano Viel, Luca Viano, Volkan Cevher

NeurIPS 2025 Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs Antoine Moulin, Gergely Neu, Luca Viano

NeurIPS 2025 Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning Till Freihaut, Luca Viano, Volkan Cevher, Matthieu Geist, Giorgia Ramponi

COLT 2025 Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning Antoine Moulin, Gergely Neu, Luca Viano

ICML 2024 Imitation Learning in Discounted Linear MDPs Without Exploration Assumptions Luca Viano, Stratis Skoulakis, Volkan Cevher

NeurIPSW 2024 Multi-Step Preference Optimization via Two-Player Markov Games Yongtao Wu, Luca Viano, Yihang Chen, Zhenyu Zhu, Quanquan Gu, Volkan Cevher

ICMLW 2024 Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher

NeurIPS 2023 Alternation Makes the Adversary Weaker in Two-Player Games Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano

ICML 2023 Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher

ICML 2023 What Can Online Reinforcement Learning with Function Approximation Benefit from General Coverage Conditions? Fanghui Liu, Luca Viano, Volkan Cevher

ICML 2022 A Natural Actor-Critic Framework for Zero-Sum Markov Games Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher

NeurIPS 2022 Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher

NeurIPS 2022 Proximal Point Imitation Learning Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher

NeurIPS 2022 Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration Fanghui Liu, Luca Viano, Volkan Cevher

NeurIPS 2021 Robust Inverse Reinforcement Learning Under Transition Dynamics Mismatch Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher