Kourosh Hakhamaneshi

About Kourosh Hakhamaneshi

Kourosh Hakhamaneshi, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Machine Learning, Reinforcement Learning, Robotics.

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

Pretraining graph neural networks for few-shot analog circuit modeling and design

Hands-on Reinforcement Learning for Recommender Systems-From Bandits to SlateQ to Offline RL with Ray RLlib

Skill preferences: Learning to extract and execute robotic skills from human feedback

Pre-training Agents for Design Optimization and Control

Semi-supervised offline reinforcement learning with pre-trained decision transformers

Berkeley open MOS database (BOMB): A dataset for silicon technology representation learning

Hierarchical few-shot imitation with skill transition models

Jumbo: Scalable multi-task bayesian optimization using offline data

Kourosh Hakhamaneshi Information

University

Position

___

Citations(all)

275

Citations(since 2020)

275

Cited By

34

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Kourosh Hakhamaneshi Skills & Research Interests

Machine Learning

Reinforcement Learning

Robotics

Top articles of Kourosh Hakhamaneshi

Pretraining graph neural networks for few-shot analog circuit modeling and design

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2022/10/26

Hands-on Reinforcement Learning for Recommender Systems-From Bandits to SlateQ to Offline RL with Ray RLlib

2022/9/18

Kourosh Hakhamaneshi
Kourosh Hakhamaneshi

H-Index: 3

Skill preferences: Learning to extract and execute robotic skills from human feedback

2021/8/11

Pre-training Agents for Design Optimization and Control

2022

Kourosh Hakhamaneshi
Kourosh Hakhamaneshi

H-Index: 3

Semi-supervised offline reinforcement learning with pre-trained decision transformers

2021/10/6

Berkeley open MOS database (BOMB): A dataset for silicon technology representation learning

BWRC Research Lab, Berkeley

2021/8/13

Vladimir Stojanovic
Vladimir Stojanovic

H-Index: 35

Kourosh Hakhamaneshi
Kourosh Hakhamaneshi

H-Index: 3

Hierarchical few-shot imitation with skill transition models

arXiv preprint arXiv:2107.08981

2021/7/19

Jumbo: Scalable multi-task bayesian optimization using offline data

arXiv preprint arXiv:2106.00942

2021/6/2

AutoCkt: deep reinforcement learning of analog circuit designs

2020/3/9

Gacem: Generalized autoregressive cross entropy method for multi-modal black box constraint satisfaction

arXiv preprint arXiv:2002.07236

2020/2/17

See List of Professors in Kourosh Hakhamaneshi University(University of California, Berkeley)

Co-Authors

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