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Conference and Workshop Papers
- 2023
[c5]Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris:
Q-functionals for Value-Based Continuous Control. AAAI 2023: 8932-8939- [c4]Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman:
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS 2023: 1390-1410 - [c3]Sam Lobel, Akhil Bagaria, George Konidaris:
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. ICML 2023: 22594-22613 - 2022
- [c2]Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris:
Optimistic Initialization for Exploration in Continuous Control. AAAI 2022: 7612-7619 - 2020
- [c1]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. ICLR 2020
Informal and Other Publications
- 2024
- [i5]Sam Lobel, Ronald Parr:
An Optimal Tightness Bound for the Simulation Lemma. CoRR abs/2406.16249 (2024) - [i4]Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris:
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR abs/2407.07333 (2024) - 2023
- [i3]Sam Lobel, Akhil Bagaria, George Konidaris:
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. CoRR abs/2306.03186 (2023) - 2021
- [i2]Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman:
Coarse-Grained Smoothness for RL in Metric Spaces. CoRR abs/2110.12276 (2021) - 2019
- [i1]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
Towards Amortized Ranking-Critical Training for Collaborative Filtering. CoRR abs/1906.04281 (2019)
Coauthor Index
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