I am an NSF TRIPODS Postdoctoral Research Fellow at University of Illinois at Urbana-Champaign, working with Prof. R. Srikant and Prof. Niao He. My research interests include reinforcement learning, online learning, multi-armed bandits, and applied probability.
Check out my Google Scholar profile for a list of my papers.
Check out my Google Scholar profile for a list of my papers.
Selected Publications:
- S. Cayci, N. He, R. Srikant, "Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation", arXiv:2106.04096 [link]
- S. Cayci, Y. Zheng, A. Eryilmaz, "A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback", arXiv:2106.05165 [link]
- S. Cayci, S. Gupta, A. Eryilmaz, "Group-Fair Online Allocation in Continuous Time", Proceedings of NeurIPS 2020 [link]
- S. Cayci, A. Eryilmaz, R. Srikant, "Budget-Constrained Bandits over General Cost and Reward Distributions", Proceedings of AISTATS 2020 [link][slides]
- S. Cayci, A. Eryilmaz, R. Srikant, "Learning to Control Renewal Processes with Bandit Feedback", Proceedings of ACM SIGMETRICS 2019 [link]
