Asaf Cassel

About Asaf Cassel

Asaf Cassel, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Tel Aviv University, specializes in the field of Machine Learning, Optimization, Reinforcement Learning.

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

A General Framework for Bandit Problems Beyond Cumulative Objectives

Efficient rate optimal regret for adversarial contextual MDPs using online function approximation

Rate-optimal online convex optimization in adaptive linear control

Eluder-based Regret for Stochastic Contextual MDPs

Efficient online linear control with stochastic convex costs and unknown dynamics

Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt $ T Regret

The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks

Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently

Asaf Cassel Information

University

Position

School of Computer Science

Citations(all)

189

Citations(since 2020)

189

Cited By

46

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Asaf Cassel Skills & Research Interests

Machine Learning

Optimization

Reinforcement Learning

Top articles of Asaf Cassel

A General Framework for Bandit Problems Beyond Cumulative Objectives

Mathematics of Operations Research

2023/11

Efficient rate optimal regret for adversarial contextual MDPs using online function approximation

2023/7/3

Asaf Cassel
Asaf Cassel

H-Index: 3

Rate-optimal online convex optimization in adaptive linear control

Advances in Neural Information Processing Systems

2022/12/6

Eluder-based Regret for Stochastic Contextual MDPs

arXiv preprint arXiv:2211.14932

2022/11/27

Asaf Cassel
Asaf Cassel

H-Index: 3

Efficient online linear control with stochastic convex costs and unknown dynamics

2022/6/28

Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt $ T Regret

2021/7/1

The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks

arXiv preprint arXiv:2007.13232

2020/7/26

Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently

2020/11/21

Asaf Cassel
Asaf Cassel

H-Index: 3

Tomer Koren
Tomer Koren

H-Index: 21

Bandit linear control

Advances in Neural Information Processing Systems

2020

Asaf Cassel
Asaf Cassel

H-Index: 3

Tomer Koren
Tomer Koren

H-Index: 21

See List of Professors in Asaf Cassel University(Tel Aviv University)

Co-Authors

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