Ezgi Korkmaz

According to our database, Ezgi Korkmaz authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Survey Analyzing Generalization in Deep Reinforcement Learning.

Ezgi Korkmaz

CoRR, 2024

Understanding and Diagnosing Deep Reinforcement Learning.

Ezgi Korkmaz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions.

Ezgi Korkmaz, Jonah Brown-Cohen

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness.

Ezgi Korkmaz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs.

Ezgi Korkmaz

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Investigating vulnerabilities of deep neural policies.

Ezgi Korkmaz

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Inaccuracy of State-Action Value Function for Non-Optimal Actions in Adversarially Trained Deep Neural Policies.

Ezgi Korkmaz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021