Korkmaz, Ezgi

20 publications

NeurIPS 2025 Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning Ezgi Korkmaz

NeurIPSW 2024 Adversarial Robust Deep Reinforcement Learning Is Neither Robust nor Safe Ezgi Korkmaz

ICML 2024 Understanding and Diagnosing Deep Reinforcement Learning Ezgi Korkmaz

AAAI 2023 Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz

ICML 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz, Jonah Brown-Cohen

ICMLW 2023 Robustness of Inverse Reinforcement Learning Ezgi Korkmaz

NeurIPSW 2022 Adversarial Robustness of Deep Inverse Reinforcement Learning Ezgi Korkmaz

AAAI 2022 Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs Ezgi Korkmaz

NeurIPSW 2022 Deep Reinforcement Learning Policies in the Frequency Domain Ezgi Korkmaz

NeurIPSW 2022 Disclosing the Biases in Large Language Models via Reward Based Interrogation Ezgi Korkmaz

NeurIPSW 2022 Disclosing the Biases in Large Language Models via Reward Structured Questions Ezgi Korkmaz

NeurIPSW 2022 Revealing the Bias in Large Language Models via Reward Structured Questions Ezgi Korkmaz

ICMLW 2022 Robustness of Inverse Reinforcement Learning Ezgi Korkmaz

NeurIPSW 2022 Spectral Robustness Analysis of Deep Imitation Learning Ezgi Korkmaz

NeurIPSW 2021 Adversarial Training Blocks Generalization in Neural Policies Ezgi Korkmaz

NeurIPSW 2021 Adversarial Training Blocks Generalization in Neural Policies Ezgi Korkmaz

ICMLW 2021 Adversarially Trained Neural Policies in the Fourier Domain Ezgi Korkmaz

CVPRW 2021 Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies Ezgi Korkmaz

UAI 2021 Investigating Vulnerabilities of Deep Neural Policies Ezgi Korkmaz

ICMLW 2021 Non-Robust Feature Mapping in Deep Reinforcement Learning Ezgi Korkmaz