Traffic Estimation via Kalman Filtering under Partial Information in Software-Defined Networks. - Alper Kamil Bozkurt; Gokcan Cantali; Gürkan Gür (AINTEC, 2017)

Distributed particle filtering under real-time constraints. - Alper Kamil Bozkurt; Ali Taylan Cemgil (EUSIPCO, 2017)

Attack-Resilient Supervisory Control of Discrete-Event Systems. - Yu Wang 044; Alper Kamil Bozkurt; Miroslav Pajic (CoRR, 2019)

Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning. - Alper Kamil Bozkurt; Yu Wang 044; Michael M. Zavlanos; Miroslav Pajic (ICRA, 2020)

Model-Free Learning of Safe yet Effective Controllers. - Alper Kamil Bozkurt; Yu Wang 044; Miroslav Pajic (CDC, 2021)

Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning. - Alper Kamil Bozkurt; Yu Wang 044; Miroslav Pajic (ICRA, 2021)

Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives. - Alper Kamil Bozkurt; Yu Wang 044; Michael M. Zavlanos; Miroslav Pajic (ICRA, 2021)

Learning Optimal Strategies for Temporal Tasks in Stochastic Games. - Alper Kamil Bozkurt; Yu Wang 044; Miroslav Pajic (CoRR, 2021)

Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes. - Yu Wang 044; Alper Kamil Bozkurt; Miroslav Pajic (CoRR, 2021)

Steering Decision Transformers via Temporal Difference Learning. - Hao-Lun Hsu; Alper Kamil Bozkurt; Juncheng Dong; Qitong Gao; Vahid Tarokh; Miroslav Pajic (IROS, 2024)

On the uniqueness of solution for the Bellman equation of LTL objectives. - Zetong Xuan; Alper Kamil Bozkurt; Miroslav Pajic; Yu Wang 044 (L4DC, 2024)

Learning Optimal Strategies for Temporal Tasks in Stochastic Games. - Alper Kamil Bozkurt; Yu Wang 044; Michael M. Zavlanos; Miroslav Pajic (IEEE Trans. Autom. Control., 2024)

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation. - Alper Kamil Bozkurt; Calin Belta; Ming C. Lin (CoRR, 2025)