Pamul Yadav

About Pamul Yadav

Pamul Yadav, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Ulsan National Institute of Science and Technology, specializes in the field of Quantum Error Mitigation, Machine Learning, Complex Networks.

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

OODA loop for learning open-world novelty problems

Neuromorphic Hardware Accelerators

Artificial Intelligence Accelerators

A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles

Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications

A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator

OODA-RL: A Reinforcement Learning Framework For Artificial General Intelligence To Solve Open World Novelty

Pamul Yadav Information

University

Position

School of Electrical and Computer Engineering

Citations(all)

47

Citations(since 2020)

47

Cited By

3

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Pamul Yadav Skills & Research Interests

Quantum Error Mitigation

Machine Learning

Complex Networks

Top articles of Pamul Yadav

Title

Journal

Author(s)

Publication Date

OODA loop for learning open-world novelty problems

Pamul Yadav

Shiho Kim

2023/7/13

Neuromorphic Hardware Accelerators

Pamul Yadav

Ashutosh Mishra

Shiho Kim

2023/3/16

Artificial Intelligence Accelerators

Ashutosh Mishra

Pamul Yadav

Shiho Kim

2023/3/16

A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles

Pamul Yadav

Ashutosh Mishra

Shiho Kim

2023/1

Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications

Engineering Applications of Artificial Intelligence

Taewoo Kim

Pamul Yadav

Ho Suk

Shiho Kim

2022/11/1

A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization

arXiv preprint arXiv:2202.08444

Pamul Yadav

Ashutosh Mishra

Junyong Lee

Shiho Kim

2022/2/17

Rationale-aware Autonomous Driving Policy utilizing Safety Force Field implemented on CARLA Simulator

Ho Suk

Taewoo Kim

Hyungbin Park

Pamul Yadav

Junyong Lee

...

2022/11

OODA-RL: A Reinforcement Learning Framework For Artificial General Intelligence To Solve Open World Novelty

Pamul Yadav

Taewoo Kim

Ho Suk

Junyong Lee

Hyeonseong Jeong

...

2021/12/28

An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits

Sangho Lee

Junbeom Park

Ho Suk

Taewoo Kim

Pamul Yadav

...

2021/6/27

LoRa based architecture for smart town traffic management system

Multimedia Tools and Applications

Seung Byum Seo

Pamul Yadav

Dhananjay Singh

2020/11/7

See List of Professors in Pamul Yadav University(Ulsan National Institute of Science and Technology)