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Luca Viano
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2020 – today
- 2024
- [c10]Luca Viano, Stratis Skoulakis, Volkan Cevher:
Imitation Learning in Discounted Linear MDPs without exploration assumptions. ICML 2024 - [i10]Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher:
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games. CoRR abs/2401.09628 (2024) - [i9]Luca Viano, Stratis Skoulakis, Volkan Cevher:
Imitation Learning in Discounted Linear MDPs without exploration assumptions. CoRR abs/2405.02181 (2024) - 2023
- [c9]Fanghui Liu, Luca Viano, Volkan Cevher:
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023: 22063-22091 - [c8]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: 26904-26930 - [c7]Volkan Cevher, Ashok Cutkosky, Ali Kavis, Georgios Piliouras, Stratis Skoulakis, Luca Viano:
Alternation makes the adversary weaker in two-player games. NeurIPS 2023 - [i8]Fanghui Liu, Luca Viano, Volkan Cevher:
Provable benefits of general coverage conditions in efficient online RL with function approximation. CoRR abs/2304.12886 (2023) - [i7]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 abs/2306.15543 (2023) - 2022
- [c6]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. AAMAS 2022: 1337-1345 - [c5]Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher:
A Natural Actor-Critic Framework for Zero-Sum Markov Games. ICML 2022: 307-366 - [c4]Fanghui Liu, Luca Viano, Volkan Cevher:
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration. NeurIPS 2022 - [c3]Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher:
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. NeurIPS 2022 - [c2]Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher:
Proximal Point Imitation Learning. NeurIPS 2022 - [i6]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. CoRR abs/2202.06003 (2022) - [i5]Luca Viano, Johanni Brea:
Neural NID Rules. CoRR abs/2202.06036 (2022) - [i4]Fanghui Liu, Luca Viano, Volkan Cevher:
Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration. CoRR abs/2209.07376 (2022) - [i3]Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher:
Proximal Point Imitation Learning. CoRR abs/2209.10968 (2022) - [i2]Paul Rolland, Luca Viano, Norman Schürhoff, Boris Nikolov, Volkan Cevher:
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning. CoRR abs/2209.10974 (2022) - 2021
- [c1]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. NeurIPS 2021: 25917-25931 - 2020
- [i1]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Volkan Cevher:
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch. CoRR abs/2007.01174 (2020)
Coauthor Index
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