Dylan J. Foster
Massachusetts Institute of Technology
H-index: 26
North America-United States
Top articles of Dylan J. Foster
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Controllable latent space discovery using multi-step inverse model | 2024/1/25 | ||
Harnessing density ratios for online reinforcement learning | arXiv preprint arXiv:2401.09681 | Philip Amortila Dylan J Foster Nan Jiang Ayush Sekhari Tengyang Xie | 2024/1/18 |
Online Estimation via Offline Estimation: An Information-Theoretic Framework | arXiv preprint arXiv:2404.10122 | Dylan J Foster Yanjun Han Jian Qian Alexander Rakhlin | 2024/4/15 |
Can large language models explore in-context? | arXiv preprint arXiv:2403.15371 | Akshay Krishnamurthy Keegan Harris Dylan J Foster Cyril Zhang Aleksandrs Slivkins | 2024/3/22 |
Model-free reinforcement learning with the decision-estimation coefficient | Advances in Neural Information Processing Systems | Dylan J Foster Noah Golowich Jian Qian Alexander Rakhlin Ayush Sekhari | 2024/2/13 |
Efficient model-free exploration in low-rank mdps | Advances in Neural Information Processing Systems | Zak Mhammedi Adam Block Dylan J Foster Alexander Rakhlin | 2024/2/13 |
Orthogonal statistical learning | The Annals of Statistics | Dylan J Foster Vasilis Syrgkanis | 2023/6 |
On the complexity of multi-agent decision making: From learning in games to partial monitoring | Dean Foster Dylan J Foster Noah Golowich Alexander Rakhlin | 2023/7/12 | |
Lower bounds for non-convex stochastic optimization | Mathematical Programming | Yossi Arjevani Yair Carmon John C Duchi Dylan J Foster Nathan Srebro | 2023/5 |
Instance-optimality in interactive decision making: Toward a non-asymptotic theory | Andrew J Wagenmaker Dylan J Foster | 2023/7/12 | |
Minimax rates for conditional density estimation via empirical entropy | The Annals of Statistics | Blair Bilodeau Dylan J Foster Daniel M Roy | 2023/4 |
Tight guarantees for interactive decision making with the decision-estimation coefficient | Dylan J Foster Noah Golowich Yanjun Han | 2023/7/12 | |
Foundations of reinforcement learning and interactive decision making | arXiv preprint arXiv:2312.16730 | Dylan J Foster Alexander Rakhlin | 2023/12/27 |
Representation learning with multi-step inverse kinematics: An efficient and optimal approach to rich-observation rl | Zakaria Mhammedi Dylan J Foster Alexander Rakhlin | 2023/7/3 | |
Butterfly effects of sgd noise: Error amplification in behavior cloning and autoregression | arXiv preprint arXiv:2310.11428 | Adam Block Dylan J Foster Akshay Krishnamurthy Max Simchowitz Cyril Zhang | 2023/10/17 |
Hardness of independent learning and sparse equilibrium computation in markov games | Dylan J Foster Noah Golowich Sham M Kakade | 2023/7/3 | |
Contextual bandits with packing and covering constraints: A modular lagrangian approach via regression | Aleksandrs Slivkins Karthik Abinav Sankararaman Dylan J Foster | 2023/7/12 | |
Interaction-grounded learning with action-inclusive feedback | Advances in Neural Information Processing Systems | Tengyang Xie Akanksha Saran Dylan J Foster Lekan Molu Ida Momennejad | 2022/12/6 |
The role of coverage in online reinforcement learning | arXiv preprint arXiv:2210.04157 | Tengyang Xie Dylan J Foster Yu Bai Nan Jiang Sham M Kakade | 2022/10/9 |
Guaranteed discovery of control-endogenous latent states with multi-step inverse models | arXiv preprint arXiv:2207.08229 | Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Misra | 2022/7/17 |
Co-Authors
