Luca Viano

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Function Approximation

Reinforcement Learning

Congestion Games

Top Venues

Publications

Luca Viano, Stratis Skoulakis, Volkan Cevher
Imitation Learning in Discounted Linear MDPs without exploration assumptions. CoRR (2024)
Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. CoRR (2024)
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. CoRR (2023)
Fanghui Liu, Luca Viano, Volkan Cevher
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML (2023)
Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML (2023)
Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano
Alternation makes the adversary weaker in two-player games. NeurIPS (2023)
Fanghui Liu, Luca Viano, Volkan Cevher
Provable benefits of general coverage conditions in efficient online RL with function approximation. CoRR (2023)
Paul Rolland, Luca Viano, Norman Schuerhoff, Boris Nikolov, Volkan Cevher
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR (2022)
Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher
A Natural Actor-Critic Framework for Zero-Sum Markov Games. ICML (2022)
Fanghui Liu, Luca Viano, Volkan Cevher
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration. CoRR (2022)
Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS (2022)
Luca Viano, Johanni Brea
Neural NID Rules. CoRR (2022)
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Proximal Point Imitation Learning. CoRR (2022)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
Robust Learning from Observation with Model Misspecification. AAMAS (2022)
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher
Proximal Point Imitation Learning. NeurIPS (2022)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller
Robust Learning from Observation with Model Misspecification. CoRR (2022)
Fanghui Liu, Luca Viano, Volkan Cevher
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration. NeurIPS (2022)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS (2021)
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR (2020)