ProfessorsProfessors of Kansas State UniversityRaja Farrukh Ali

Raja Farrukh Ali

Kansas State University

H-index: 5

North America-United States

About Raja Farrukh Ali

Raja Farrukh Ali, With an exceptional h-index of 5 and a recent h-index of 4 (since 2020), a distinguished researcher at Kansas State University, specializes in the field of Reinforcement Learning, Wireless Communications.

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

Non-exponential reward discounting in deep reinforcement learning

Explainable Reinforcement Learning for Alzheimer’s Disease Progression Prediction.

Non-exponential reward discounting in reinforcement learning

Multi-horizon learning in procedurally-generated environments for off-policy reinforcement learning (student abstract)

Efficient Multi-Horizon Learning for Off-Policy Reinforcement Learning

Analyzing the sensitivity to policy-value decoupling in deep reinforcement learning generalization

Hyperbolically discounted advantage estimation for generalization in reinforcement learning

Raja Farrukh Ali Information

University	Kansas State University
Position	___
Citations(all)	56
Citations(since 2020)	31
Cited By	31
hIndex(all)	5
hIndex(since 2020)	4
i10Index(all)	2
i10Index(since 2020)	0
Email	Access Email
University Profile Page	Kansas State University
Google Scholar	View Google Scholar Profile

Raja Farrukh Ali Skills & Research Interests

Reinforcement Learning

Wireless Communications

Top articles of Raja Farrukh Ali

Title	Journal	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
Non-exponential reward discounting in deep reinforcement learning		Raja Farrukh Ali	2024/4/24
Explainable Reinforcement Learning for Alzheimer’s Disease Progression Prediction.		Raja Farrukh Ali Ayesha Farooq John Woods Emmanuel Adeniji Vinny Sun ...	2024/2/8
Non-exponential reward discounting in reinforcement learning	Proceedings of the AAAI Conference on Artificial Intelligence	Raja Farrukh Ali	2023/9/6
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
Efficient Multi-Horizon Learning for Off-Policy Reinforcement Learning		Raja Farrukh Ali Nasik Muhammad Nafi Kevin Duong William Hsu	2022/12/9
Analyzing the sensitivity to policy-value decoupling in deep reinforcement learning generalization		Nasik Muhammad Nafi Raja Farrukh Ali 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