Ezgi Korkmaz

6 papers · 2021–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+1 more ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐺 Lone Wolf (5)

🏆 Keyword Champion (2)

Venues

AAAI (3) ICML (2) UAI (1)

Top co-authors

Jonah Brown-Cohen (1)

Research topics

Machine Learning (6) Reinforcement Learning (5) Methods (5) Learning Types · Machine Learning (4) Artificial Intelligence (3) Core AI (3) Deep Learning (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Core Methods (1)

Keywords

deep reinforcement learning (5) policy robustness (2) neural network (2) adversarial perturbation (2) policy learning (1) adversarial training (1) loss landscape (1) value function (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) decision boundary stability (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