ProfessorsProfessors of Kansas State UniversityNasik Muhammad Nafi

Nasik Muhammad Nafi

Kansas State University

H-index: 4

North America-United States

About Nasik Muhammad Nafi

Nasik Muhammad Nafi, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Kansas State University, specializes in the field of Deep Reinforcement Learning, Computer Vision, Machine Learning.

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

Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning

Reinforcement Learning with Augmentation Invariant Representation: A Non-contrastive Approach

Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning

MetaVHAR: Meta-Learning for Video-Based Human Activity Recognition

Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection

Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization

Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning

Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract)

Nasik Muhammad Nafi Information

University	Kansas State University
Position	Ph.D. Student of Computer Science
Citations(all)	41
Citations(since 2020)	41
Cited By	2
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	1
i10Index(since 2020)	1
Email	Access Email
University Profile Page	Kansas State University
Google Scholar	View Google Scholar Profile

Nasik Muhammad Nafi Skills & Research Interests

Deep Reinforcement Learning

Computer Vision

Machine Learning

Top articles of Nasik Muhammad Nafi

Title	Author(s)	Publication Date
Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning	Nasik Muhammad Nafi Raja Farrukh Ali William Hsu Kevin Duong Mason Vick	2024/5/6
Reinforcement Learning with Augmentation Invariant Representation: A Non-contrastive Approach	Nasik Muhammad Nafi William Hsu	2023/12/4
Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning	Nasik Muhammad Nafi	2023/5/30
MetaVHAR: Meta-Learning for Video-Based Human Activity Recognition	Nasik Muhammad Nafi William Hsu	2023
Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection	Nasik Muhammad Nafi Ashley Rediger Scott Dietrich William Hsu	2023/12/15
Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization	Nasik Muhammad Nafi Raja Farrukh Ali William Hsu	2022/12/9
Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning	Nasik Muhammad Nafi Giovanni Poggi-Corradini William Hsu	2023/6
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract)	Raja Farrukh Ali Kevin Duong Nasik Muhammad Nafi William Hsu	2023
Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning	Nasik Muhammad Nafi Creighton Glasscock William Hsu	2022
Efficient Multi-Horizon Learning for Off-Policy Reinforcement Learning	Raja Farrukh Ali Nasik Muhammad Nafi Kevin Duong William Hsu	2022/12/9
Hyperbolically discounted advantage estimation for generalization in reinforcement learning	Nasik Muhammad Nafi Raja Farrukh Ali William Hsu	2022/6/14
eGAN: Unsupervised Approach to Class Imbalance using Transfer Learning	Ademola Okerinde William Hsu Tom Theis Nasik Nafi Lior Shamir	2021/4/9
Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches	Nasik Muhammad Nafi William H Hsu	2020/7/1
Abstractive Text Summarization of Disaster-Related Documents	Nasik Muhammad Nafi Avishek Bose Sarthak Khanal Doina Caragea William H Hsu	2020