Peer reviewed publications

S. Lobel, A. Bagaria, G. Konidaris
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning
International Conference on Machine Learning 2023 [pdf] [code] [video]
Previously presented at the Conference on Reinforcement Learning and Decision Making, 2021 [pdf]

S. Lobel, S. Rammohan, B. He, S. Yu, G. Konidaris
Q-Functionals for Value-Based Continuous Control
Association for the Advancement of Artificial Intelligence 2023 [pdf]
Previously presented at the Conference on Reinforcement Learning and Decision Making, 2021 [pdf]

O. Gottesman, K. Asadi, C. Allen, S. Lobel, G. Konidaris, M. Littman
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
International Conference on Artificial Intelligence and Statistics 2023 [pdf]

S. Lobel, A. Bagaria, C. Allen, O. Gottesman, G. Konidaris
Optimistic Initialization for Exploration in Continuous Control
Association for the Advancement of Artificial Intelligence 2022 [web] [pdf]

S. Lobel, C. Li, J. Gao, L. Carin
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
International Conference on Learning Representations 2020 [web] [pdf] [code] [video]

M. Gratale, T. Still, C. Matyas, Z. Davidson, S. Lobel, P. Collins, A. Yodh
Tunable Depletion Potentials Driven by Shape Variation of Surfactant Micelles
Physical review E 2016 [web] [pdf]