Towards Amortized Ranking-Critical Training for Collaborative Filtering. - Sam Lobel; Chunyuan Li; Jianfeng Gao 001; Lawrence Carin (CoRR, 2019)

RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. - Sam Lobel; Chunyuan Li; Jianfeng Gao 001; Lawrence Carin (ICLR, 2020)

Coarse-Grained Smoothness for RL in Metric Spaces. - Omer Gottesman; Kavosh Asadi; Cameron Allen; Sam Lobel; George Konidaris 001; Michael Littman 002 (CoRR, 2021)

Optimistic Initialization for Exploration in Continuous Control. - Sam Lobel; Omer Gottesman; Cameron Allen; Akhil Bagaria; George Konidaris 001 (AAAI, 2022)

Q-functionals for Value-Based Continuous Control. - Samuel Lobel; Sreehari Rammohan; Bowen He; Shangqun Yu; George Konidaris 001 (AAAI, 2023)

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. - Omer Gottesman; Kavosh Asadi; Cameron S. Allen; Samuel Lobel; George Konidaris 001; Michael Littman 002 (AISTATS, 2023)

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. - Sam Lobel; Akhil Bagaria; George Konidaris 001 (ICML, 2023)

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. - Cameron Allen; Aaron Kirtland; Ruo Yu Tao; Sam Lobel; Daniel Scott; Nicholas Petrocelli; Omer Gottesman; Ronald Parr; Michael L. Littman; George Konidaris 001 (NeurIPS, 2024)

An Optimal Tightness Bound for the Simulation Lemma. - Sam Lobel; Ronald Parr (RLJ, 2024)