Ezgi Korkmaz

14 papers A* 5A 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning. CoRR Ezgi Korkmaz
2026	A*	`conf`	Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms. AAAI Ezgi Korkmaz
2024	J	`jnl`	A Survey Analyzing Generalization in Deep Reinforcement Learning. CoRR Ezgi Korkmaz
2024	A*	`conf`	Understanding and Diagnosing Deep Reinforcement Learning. ICML Ezgi Korkmaz
2024	J	`jnl`	Understanding and Diagnosing Deep Reinforcement Learning. CoRR Ezgi Korkmaz
2023	A*	`conf`	Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness. AAAI Ezgi Korkmaz
2023	J	`jnl`	Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness. CoRR Ezgi Korkmaz
2023	A*	`conf`	Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions. ICML Ezgi Korkmaz, Jonah Brown-Cohen
2023	J	`jnl`	Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions. CoRR Ezgi Korkmaz, Jonah Brown-Cohen
2022	A*	`conf`	Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs. AAAI Ezgi Korkmaz
2021	J	`jnl`	Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs. CoRR Ezgi Korkmaz
2021	—	`conf`	Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies. CVPR Workshops Ezgi Korkmaz
2021	J	`jnl`	Investigating Vulnerabilities of Deep Neural Policies. CoRR Ezgi Korkmaz
2021	A	`conf`	Investigating vulnerabilities of deep neural policies. UAI Ezgi Korkmaz