Luca Viano

Research Interests:

  • Reinforcement Learning
  • Imitation Learning
  • Optimization

 

Biography

Since September 2021, I am an ELLIS PhD Fellow supervised by Volkan Cevher and co-supervised by Gergely Neu. My first PhD year was kindly supported by the EDIC Excellence Fellowship.

Before that, I worked as Data Scientist at Datapred, I obtained a MSc in Computational Science and Engineering from EPFL and a Bachelor in Engineering Physics from Politecnico di Torino, Italy. Cycling is my main hobby.

Publications with LIONS

 

Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.

I. Panageas; E. P. Skoulakis; L. Viano; X. Wang; V. Cevher 

2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.

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What can online reinforcement learning with function approximation benefitfrom general coverage conditions

F. Liu; L. Viano; V. Cevher 

2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.

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A Natural Actor-Critic Framework for Zero-Sum Markov Games

A. Alacaoglu; L. Viano; N. He; V. Cevher 

2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.

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Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration

F. Liu; L. Viano; V. Cevher 

2022. Thirty-sixth Conference on Neural Information Processing Systems – NeurIPS 2022, New Orleans, USA, November 28 – December 3, 2022.

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Proximal Point Imitation Learning

L. Viano; A. Kamoutsi; G. Neu; I. Krawczuk; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 – December 3, 2022.

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Contact

e-mail address: [email protected]

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