Noah Golowich

About Noah Golowich

Noah Golowich, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Massachusetts Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

On Learning Parities with Dependent Noise

Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning

Model-free reinforcement learning with the decision-estimation coefficient

From external to swap regret 2.0: An efficient reduction and oblivious adversary for large action spaces

Smooth nash equilibria: Algorithms and complexity

Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles

On the complexity of multi-agent decision making: From learning in games to partial monitoring

Tight guarantees for interactive decision making with the decision-estimation coefficient

Noah Golowich Information

University

Position

___

Citations(all)

1770

Citations(since 2020)

1717

Cited By

471

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

20

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Top articles of Noah Golowich

On Learning Parities with Dependent Noise

arXiv preprint arXiv:2404.11325

2024/4/17

Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning

arXiv preprint arXiv:2404.03774

2024/4/4

Model-free reinforcement learning with the decision-estimation coefficient

Advances in Neural Information Processing Systems

2024/2/13

From external to swap regret 2.0: An efficient reduction and oblivious adversary for large action spaces

arXiv preprint arXiv:2310.19786

2023/10/30

Smooth nash equilibria: Algorithms and complexity

arXiv preprint arXiv:2309.12226

2023/9/21

Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles

arXiv preprint arXiv:2309.09457

2023/9/18

On the complexity of multi-agent decision making: From learning in games to partial monitoring

2023/7/12

Noah Golowich
Noah Golowich

H-Index: 7

Alexander Rakhlin
Alexander Rakhlin

H-Index: 35

Tight guarantees for interactive decision making with the decision-estimation coefficient

2023/7/12

Noah Golowich
Noah Golowich

H-Index: 7

Yanjun Han
Yanjun Han

H-Index: 17

Stay-on-the-ridge: Guaranteed convergence to local minimax equilibrium in nonconvex-nonconcave games

2023/7/12

The complexity of markov equilibrium in stochastic games

2023/7/12

Hardness of independent learning and sparse equilibrium computation in markov games

2023/7/3

Noah Golowich
Noah Golowich

H-Index: 7

Sham M Kakade
Sham M Kakade

H-Index: 59

Planning and learning in partially observable systems via filter stability

2023/6/2

Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games

2022/6/9

Learning in observable pomdps, without computationally intractable oracles

Advances in neural information processing systems

2022/12/6

Smoothed online learning is as easy as statistical learning

2022/6/28

Can Q-learning be improved with advice?

2022/6/28

Noah Golowich
Noah Golowich

H-Index: 7

Ankur Moitra
Ankur Moitra

H-Index: 31

Fast rates for nonparametric online learning: from realizability to learning in games

2022/6/9

Constantinos Daskalakis
Constantinos Daskalakis

H-Index: 36

Noah Golowich
Noah Golowich

H-Index: 7

Near-optimal no-regret learning in general games

Advances in Neural Information Processing Systems

2021/12/6

Constantinos Daskalakis
Constantinos Daskalakis

H-Index: 36

Noah Golowich
Noah Golowich

H-Index: 7

Littlestone classes are privately online learnable

Advances in Neural Information Processing Systems

2021/12/6

Noah Golowich
Noah Golowich

H-Index: 7

Roi Livni
Roi Livni

H-Index: 13

Deep learning with label differential privacy

Advances in neural information processing systems

2021/12/6

Noah Golowich
Noah Golowich

H-Index: 7

Ravi Kumar
Ravi Kumar

H-Index: 3

See List of Professors in Noah Golowich University(Massachusetts Institute of Technology)

Co-Authors

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