Act to Reason: A Dynamic Game Theoretical Driving Model for Highway Merging Applications. - Cevahir Köprülü; Yildiray Yildiz (CCTA, 2021)

Act to Reason: A Dynamic Game Theoretical Model of Driving. - Cevahir Köprülü; Yildiray Yildiz (CoRR, 2021)

Risk-aware curriculum generation for heavy-tailed task distributions. - Cevahir Köprülü; Thiago D. Simão; Nils Jansen 001; Ufuk Topcu (UAI, 2023)

Reward-machine-guided, self-paced reinforcement learning. - Cevahir Köprülü; Ufuk Topcu (UAI, 2023)

Joint learning of reward machines and policies in environments with partially known semantics. - Christos K. Verginis; Cevahir Köprülü; Sandeep Chinchali; Ufuk Topcu (Artif. Intell., 2024)

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL. - Cevahir Köprülü; Franck Djeumou; Ufuk Topcu (ICLR, 2025)

Safety-Prioritizing Curricula for Constrained Reinforcement Learning. - Cevahir Köprülü; Thiago D. Simão; Nils Jansen 001; Ufuk Topcu (ICLR, 2025)

Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations. - Cevahir Köprülü; Po-han Li; Tianyu Qiu; Ruihan Zhao 001; Tyler Westenbroek; David Fridovich-Keil; Sandeep Chinchali; Ufuk Topcu (L4DC, 2025)