Gene Li

According to our database, Gene Li authored at least 13 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Agnostic Reinforcement Learning: Foundations and Algorithms.

Gene Li

CoRR, June, 2025

The Role of Environment Access in Agnostic Reinforcement Learning.

Akshay Krishnamurthy, Gene Li, Ayush Sekhari

CoRR, April, 2025

The Role of Environment Access in Agnostic Reinforcement Learning (Extended Abstract).

Akshay Krishnamurthy, Gene Li, Ayush Sekhari

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Optimistic Rates for Learning from Label Proportions.

Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Dueling Optimization with a Monotone Adversary.

Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

When is Agnostic Reinforcement Learning Statistically Tractable?

Zeyu Jia, Gene Li, Alexander Rakhlin, Ayush Sekhari, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Pessimism for Offline Linear Contextual Bandits using 𝓁_p Confidence Sets.

Gene Li, Cong Ma, Nathan Srebro

CoRR, 2022

Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets.

Gene Li, Cong Ma, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exponential Family Model-Based Reinforcement Learning via Score Matching.

Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding the Eluder Dimension.

Gene Li, Pritish Kamath, Dylan J. Foster, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Exponential Family Model-Based Reinforcement Learning via Score Matching.

Gene Li, Junbo Li, Nathan Srebro, Zhaoran Wang, Zhuoran Yang

CoRR, 2021

Eluder Dimension and Generalized Rank.

Gene Li, Pritish Kamath, Dylan J. Foster, Nathan Srebro

CoRR, 2021

2015

Specialty technology for loT.

Gene Li

Proceedings of the VLSI Design, Automation and Test, 2015