Ezgi Korkmaz

It is quite difficult to navigate through unresponsiveness in the discussion. Do you think the current batch of assignments, i.e. approximately 12 papers per AC, was a good step, or do you think it should be around 40 or 50 to ensure the comparisons are less noisy across ACs?

I opened this poll and I will share the results here as well:
#ICML #ICML2025

If you are interested in large language models see my paper below on how we can uncover the biases learned by these models.

Link: neurips2023-enlsp.github.io/papers/paper...

#ReinforcementLearning #FoundationModels #DeepRL #DeepReinforcementLearning #ResponsibleAI #AIBias #LLMs #LanguageModels

Gave a lecture on Hoeffding's Inequality recently at #LMUMunich! Nice to have a chance to talk about foundations. Find my slides below:

Link: ezgikorkmaz.github.io

#Statistics #Probability #LMU #MachineLearning

GitHub - EzgiKorkmaz/adversarial-reinforcement-learning: Reading list for adversarial perspective and robustness in deep reinforcement learning. Reading list for adversarial perspective and robustness in deep reinforcement learning. - EzgiKorkmaz/adversarial-reinforcement-learning

If you are interested in deep reinforcement learning, I will share this repo here:

Link: github.com/EzgiKorkmaz/...

#ReinforcementLearning #SafeAI #Adversarial #Robust #DeepRL #robustRL #LanguageModels #AdversarialRL #AISafety #ExplainableAI #TrustworthyAI #ResponsibleAI #DeepReinforcementLearning

A recent paper I wrote introduces foundational analysis on deep reinforcement learning decision making and representations learnt by it.

Link: proceedings.mlr.press/v235/korkmaz...

#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning

I wrote a recent survey about deep reinforcement learning. The paper is a compact guide to understand some of the key concepts in reinforcement learning.

Link: arxiv.org/pdf/2401.023...

#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning

This paper provides the compact highlights of my recent work on generalization, adversarial perspective, robustness and safety in deep reinforcement learning! #NeurIPS2024
@neuripsconf.bsky.social

#ReinforcementLearning #SafeAI #AISafety #TrustworthyAI #ML #DeepRL

bsky.app/profile/ezgi...

The recent paper I wrote on deep reinforcement learning and generalization will appear #NeurIPS2024 @neuripsconf.bsky.social !

#ReinforcementLearning #DeepReinforcementLearning

If you are curious about deep reinforcement learning find the compact highlights of my recent papers in this new short piece:

#NeurIPS2024 @neuripsconf.bsky.social #NeurIPS24
#reinforcementlearning #AIsafety #AISecurity #ResponsibleAI #TrustworthyAI #RobustAI #DeepRL

bsky.app/profile/ezgi...

The paper on adversarial non-robustness is now online! This paper highlights what you should now about Robust Reinforcement Learning.

Adversarial Robust Deep Reinforcement Learning is Neither Robust Nor Safe
Link: openreview.net/pdf?id=EPa0u...

#NeurIPS2024
neuripsconf.bsky.social
#NeurIPS24