My publications are also on open-access platforms like arXiv. They can be accessed through my Google scholar profile.
Below, the mark ‘*’ signifies equal contribution.
Journal Articles
- [TMLR’25] D. Jarne Ornia*, G. Delimpaltadakis*, J. Kober, and J. Alonso-Mora, “Predictable Reinforcement Learning Dynamics through Entropy Rate Minimization”, Transactions on Machine Learning Research, 2025. link
- [TAC’24] G. Delimpaltadakis, J. Cortés, and W.P.M.H. Heemels, “Continuous Approximations of Projected Dynamical Systems via Control Barrier Functions”, IEEE Transactions on Automatic Control, 2024. link
- [TAC’23] G. Delimpaltadakis, L. Laurenti and M. Mazo Jr., “Formal Analysis of the Sampling Behaviour of Stochastic Event-Triggered Control”, IEEE Transactions on Automatic Control, 2023. link
- [TAC’22] G. Delimpaltadakis and M. Mazo Jr., “Abstracting the Traffic of Nonlinear Event-Triggered Control Systems”, IEEE Transactions on Automatic Control, 2022. link
- [TCNS’21] G. Delimpaltadakis and M. Mazo Jr., “Region-Based Self-Triggered Control for Perturbed and Uncertain Nonlinear Systems”, IEEE Transactions on Control of Network Systems, 2021. link
- [TAC’20] G. Delimpaltadakis and M. Mazo Jr., “Isochronous Partitions for Region-Based Self Triggered Control”, IEEE Transactions on Automatic Control, 2020. link
- [RAL’18] I. M. Delimpaltadakis, C. P. Bechlioulis, and K. J. Kyriakopoulos, “Decentralized Platooning With Obstacle Avoidance for Car-Like Vehicles With Limited Sensing”, IEEE Robotics and Automation Letters, 2018. link
Conference Papers
- [CDC’25] G. Delimpaltadakis*, P. Mestres*, J. Cortés, and W.P.M.H. Heemels, “Feedback Optimization with State Constraints through Control Barrier Functions”, accepted at the IEEE Conference on Decision and Control, 2025. link
- [HSCC’25] A. Banse, G. Delimpaltadakis, L. Laurenti, M. Mazo Jr., and R. Jungers, “Memory-dependent abstractions of stochastic systems through the lens of transfer operators”, ACM International Conference on Hybrid Systems: Computation and Control, 2025. link
- [CDC’24] M. van Zutphen, G. Delimpaltadakis, W.P.M.H. Heemels, and Duarte Antunes, “Predictable Interval MDPs through Entropy Regularization”, IEEE Conference on Decision and Control, 2024. link
- [CDC’23] G. Delimpaltadakis and W.P.M.H. Heemels, “On the relationship between Control Barrier Functions and Projected Dynamical Systems”, IEEE Conference on Decision and Control, 2023. link
- [HSCC’23] G. Delimpaltadakis, M. Lahijanian, M. Mazo Jr., and L. Laurenti, “Interval Markov Decision Processes with Continuous Action-Spaces”, ACM International Conference on Hybrid Systems: Computation and Control 2023. link
- [HSCC’22] G. Delimpaltadakis*, G. de A. Gleizer*, I. van Straalen*, M. Mazo Jr., “ETCetera: Beyond Event-Triggered Control”, ACM International Conference on Hybrid Systems: Computation and Control, 2022. link
- [CDC’21] G. Delimpaltadakis, L. Laurenti, and M. Mazo Jr., “Abstracting the Sampling Behaviour of Stochastic Linear Periodic Event-Triggered Control Systems”, IEEE Conference on Decision and Control, 2021. link
- [CDC’20] G. Delimpaltadakis and M. Mazo Jr., “Traffic Abstractions of Nonlinear Homogeneous Event-Triggered Control Systems”, IEEE Conference on Decision and Control, 2020. link