Ezgi Korkmaz
6 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
πΊ
Lone Wolf
(4)
π
Keyword Champion
(2)
Conferences
AAAI (3)
ICML (2)
UAI (1)
Top co-authors
Keywords
deep reinforcement learning
(5)
neural network
(2)
adversarial perturbation
(2)
policy robustness
(2)
policy learning
(1)
adversarial training
(1)
loss landscape
(1)
state representation
(1)
adversarial attack
(1)
decision boundary
(1)
feature sensitivity
(1)
asymptotic performance
(1)
adversarial feature
(1)
robust decision making
(1)
neural policy
(1)
fourier spectrum analysis
(1)
evaluation paradigm
(1)
empirical methodology
(1)
learning theory
(1)
adversarial robustness
(1)
Papers
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
AAAI 2026
Understanding and Diagnosing Deep Reinforcement Learning
ICML 2024
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
AAAI 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions
ICML 2023
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs
AAAI 2022
Investigating vulnerabilities of deep neural policies
UAI 2021