Sam Lobel

According to our database, Sam Lobel authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

An Optimal Tightness Bound for the Simulation Lemma.

Sam Lobel, Ronald Parr

Proceedings of the 1st Reinforcement Learning Conference, 2024

2023

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning.

Sam Lobel, Akhil Bagaria, George Konidaris

Proceedings of the International Conference on Machine Learning, 2023

Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces.

Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Q-functionals for Value-Based Continuous Control.

Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Optimistic Initialization for Exploration in Continuous Control.

Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Coarse-Grained Smoothness for RL in Metric Spaces.

Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman

CoRR, 2021

2020

RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering.

Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Towards Amortized Ranking-Critical Training for Collaborative Filtering.

Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin

CoRR, 2019