Publications
2023
Semi-Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No Regret guarantees.
ICML 2023 [paper]
I. Panageas*, S. Skoulakis*, L. Viano*, X. Wang, V. Cevher
What can online reinforcement learning with function approximation benefit from general coverage conditions?
ICML 2023 [paper]
F. Liu, L. Viano, V. Cevher
2022
Proximal Point Imitation Learning
NeurIPS 2022 [paper]
L. Viano, A.Kamoutsi, G. Neu, I. Krawczuk, V. Cevher
Identifiability and Generalizability from multiple experts in Inverse Reinforcement Learning
NeurIPS 2022 [paper]
P. Rolland, L. Viano, Norman Schuerhoff, Boris Nikolov, V. Cevher
Understanding Deep Neural Function Approximation in Reinforcement Learning via epsilon-Greedy Exploration
NeurIPS 2022 [paper]
F. Liu, L. Viano, V. Cevher
A Natural Actor-Critic Framework for Zero-Sum Markov Games
ICML 2022 [paper]
A. Alacaoglu, L. Viano, N.He, V.Cevher
Robust Learning from Observation under Model Misspecification
AAMAS 2022 [paper]
L. Viano, Y.T. Huang, P. Kamalaruban, Craig Innes, S. Ramamoorthy, A. Weller
2021
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Advances in Neural Information Processing Systems 2021 [paper]
L. Viano, Y.T. Huang, P. Kamalaruban, A. Weller, V. Cevher
Neural NID Rules
Physical Reasoning and Inductive Biases for the Real World at NeurIPS 2021 [paper]
L. Viano, J. Brea