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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Yüksel Arslantaş
About me
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Posts
Strategic Sophistication vs Adversarial Machine Learning
Published:
Throughout our research, a common question raised by other researchers regarding strategic sophistication has been its distinction from adversarial machine learning and reward poisoning for reinforcement learning. In this brief blog post, I aim to highlight the differences between these approaches and situate strategic sophistication within the broader academic landscape.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Convergence of Heterogeneous Learning Dynamics in Zero-sum Stochastic Games
Published in arXiv, 2023
This paper presents new families of algorithms for the repeated play of two-agent (near) zero-sum games and two-agent zero-sum stochastic games.
Team Collaboration vs Competition: New Fictitious Play Dynamics for Multi-team Zero-Sum Games
Published in arXiv, 2024
This paper presents a new variant of fictitious play (FP) called team-fictitious-play (Team-FP) that can reach equilibrium in multi-team competition.
Strategizing against Q-learners: A Control-theoretical Approach
Published in IEEE L-CSS, 2024
In this paper, we explore the susceptibility of the Q-learning algorithm (a classical and widely used reinforcement learning method) to strategic manipulation of sophisticated opponents in games.
Strategic Control of Experience-Weighted Attraction Model in Human-AI Interactions
Published in 😊, 2024
This paper investigates a novel control framework for strategic Artificial Intelligence (AI) in human interactions. We leverage the Experience-Weighted Attraction (EWA) model, a widely used method for capturing human learning dynamics.
Vulnerability Assessment of Reinforcement Learning in Stochastic Security Games
Published in 😊, 2024
This paper investigates the vulnerability of RL (specifically independent Q-learning) algorithms used for defense in the context of stochastic security games with linear influence networks.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.