Keith Ross

Keith Ross

New York University

H-index: 79

North America-United States

About Keith Ross

Keith Ross, With an exceptional h-index of 79 and a recent h-index of 29 (since 2020), a distinguished researcher at New York University, specializes in the field of Deep Reinforcement Learning, Networking, Privacy.

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

Cross Entropy versus Label Smoothing: A Neural Collapse Perspective

Pre-training with Synthetic Data Helps Offline Reinforcement Learning

Sieci komputerowe: ujęcie całościowe

Vrl3: A data-driven framework for visual deep reinforcement learning

On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs

Course Information

Aggressive q-learning with ensembles: Achieving both high sample efficiency and high asymptotic performance

On-policy deep reinforcement learning for the average-reward criterion

Keith Ross Information

University

Position

Leonard J. Shustek Professor of Computer Science Dept. of Computer Science and Engineering

Citations(all)

30256

Citations(since 2020)

4780

Cited By

30080

hIndex(all)

79

hIndex(since 2020)

29

i10Index(all)

218

i10Index(since 2020)

79

Email

University Profile Page

Google Scholar

Keith Ross Skills & Research Interests

Deep Reinforcement Learning

Networking

Privacy

Top articles of Keith Ross

Cross Entropy versus Label Smoothing: A Neural Collapse Perspective

arXiv preprint arXiv:2402.03979

2024/2/6

Pre-training with Synthetic Data Helps Offline Reinforcement Learning

arXiv preprint arXiv:2310.00771

2023/10/1

Che Wang
Che Wang

H-Index: 3

Keith Ross
Keith Ross

H-Index: 33

Sieci komputerowe: ujęcie całościowe

2023

Vrl3: A data-driven framework for visual deep reinforcement learning

Advances in Neural Information Processing Systems

2022/12/6

On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs

arXiv preprint arXiv:2209.02864

2022/9/7

Che Wang
Che Wang

H-Index: 3

Keith Ross
Keith Ross

H-Index: 33

Course Information

2022

Aggressive q-learning with ensembles: Achieving both high sample efficiency and high asymptotic performance

arXiv preprint arXiv:2111.09159

2021/11/17

On-policy deep reinforcement learning for the average-reward criterion

2021/7/1

Randomized ensembled double q-learning: Learning fast without a model

arXiv preprint arXiv:2101.05982

2021/1/15

Striving for simplicity and performance in off-policy DRL: Output normalization and non-uniform sampling

2020/11/21

Average reward reinforcement learning with monotonic policy improvement

2020/10/2

On the convergence of the monte carlo exploring starts algorithm for reinforcement learning

arXiv preprint arXiv:2002.03585

2020/2/10

Multi-task batch reinforcement learning with metric learning

Advances in Neural Information Processing Systems

2020

First order constrained optimization in policy space

Advances in Neural Information Processing Systems

2020

Bail: Best-action imitation learning for batch deep reinforcement learning

Advances in Neural Information Processing Systems

2020

See List of Professors in Keith Ross University(New York University)

Co-Authors

academic-engine