Peer reviewed publications

C. Allen, A. Kirtland, R.Y. Tau, S. Lobel, D. Scott, N. Petrocelli, O. Gottesman, R. Parr, M.L. Littman, G. Konidaris
Mitigating Partial Observability in Decision Processes via the Lambda Discrepancy
Neural Information Processing Systems 2024 [pdf] [code]

S. Lobel, R. Parr
An Optimal Tightness Bound for the Simulation Lemma
Reinforcement Learning Conference 2024 [pdf]

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]