OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
George K. Atia
Professor, Electrical and Computer Engineering, University of Central Florida
Joined
February 2019
Names
George K. Atia
(Preferred)
,
George Atia
Emails
****@ucf.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Professor
Electrical and Computer Engineering,
University of Central Florida
(ucf.edu)
2024
–
Present
Associate Professor
Electrical and Computer Engineering,
University of Central Florida
(ucf.edu)
2018
–
2024
Assistant Professor
University of Central Florida
(ucf.edu)
2012
–
2018
Postdoc
Electrical and Computer Engineering,
University of Illinois, Urbana-Champaign
(uiuc.edu)
2009
–
2012
PhD student
Electrical and Computer Engineering,
Boston University
(bu.edu)
2003
–
2009
Advisors, Relations & Conflicts
PhD Advisee
Mostafa Rahmani
Present
PhD Advisee
Andre Beckus
Present
PhD Advisee
Ismail Alkhouri
Present
Coauthor
Venkatesh Saligrama
2011
–
2014
Coauthor
Shuchin Aeron
2011
–
2014
Postdoc Advisor
Venugopal Veeravalli
2009
–
2012
Expertise
Robust learning
Present
Transfer learning and domain adaptation
Present
Robust reinforcement learning
Present
Adversarial learning and adversarial attacks
Present
Subspace clustering
,
community detection
,
manifold learning
,
representative selection
,
randomized sketching
Present
Publications
Online Robust Reinforcement Learning with General Function Approximation
Debamita Ghosh
,
George K. Atia
,
Yue Wang
ICML 2026 regular
Readers:
Everyone
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
Zachary Andrew Roch
,
George K. Atia
,
Yue Wang
ICML 2026 regular
Readers:
Everyone
CADENT: Gated Hybrid Distillation for Sample-Efficient Transfer in Reinforcement Learning
Mahyar Alinejad
,
Yue Wang
,
George K. Atia
AISTATS 2026 Poster
Readers:
Everyone
Confidence-Guided Self-Training for Gradual Domain Adaptation
Akram Heidarizadeh
,
Akram Awad
,
HanQin Cai
,
George K. Atia
AISTATS 2026 Poster
Readers:
Everyone
Preference-Guided Reinforcement Learning with Automaton-Based Specifications in Non-Markovian Settings
Mahyar Alinejad
,
Yue Wang
,
George K. Atia
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Provably Sample-Efficient Robust Reinforcement Learning with Average Reward
Zachary Andrew Roch
,
Chi Zhang
,
George K. Atia
,
Yue Wang
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Sample-Efficient Distributionally Robust Multi-Agent Reinforcement Learning via Online Interaction
Zain Ulabedeen Farhat
,
Debamita Ghosh
,
George K. Atia
,
Yue Wang
ICLR 2026 Poster
Readers:
Everyone
Sample-Efficient Online Distributionally Robust Reinforcement Learning via General Function Approximation
Debamita Ghosh
,
George K. Atia
,
Yue Wang
Submitted to ICLR 2026
Readers:
Everyone
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
Precious Nwaorgu
,
Suraj Singireddy
,
Andre Beckus
,
Aden McKinney
,
Mahyar Alinejad
,
Chinwendu Enyioha
,
Sumit Kumar Jha
,
Alvaro Velasquez
,
George K. Atia
Accepted by TMLR
Readers:
Everyone
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
Chi Zhang
,
Ziying Jia
,
George K. Atia
,
Sihong He
,
Yue Wang
ICML 2025 poster
Readers:
Everyone
View all 126 publications
Co-Authors
Adel Karimian
Aden McKinney
Ahmed Aldhahab
Ahmed H. Anwar
Akram Awad
Akram Heidarizadeh
Alan Paris
Alexandru Tamasan
Alvaro Velasquez
Anant Sahai
Andre Beckus
Andreas F. Molisch
Ashley Prater-Bennette
Ayman F. Abouraddy
Azadeh Vosoughi
Azer Bestavros
Cem Aksoylar
Chi Zhang
Chinwendu Enyioha
Davood Mardani
Debamita Ghosh
Erhan Baki Ermis
F. Necati Catbas
H. Esat Kondakci
HanQin Cai
View all 69 co-authors