Cayci, Semih

10 publications

TMLR 2025 Budgeted-Bandits with Controlled Restarts with Applications in Learning and Computing Semih Cayci, Yilin Zheng, Atilla Eryilmaz

TMLR 2025 Recurrent Natural Policy Gradient for POMDPs Semih Cayci, Atilla Eryilmaz

ICMLW 2024 Essentially Sharp Estimates on the Entropy Regularization Error in Discounted Markov Decision Processes Johannes Müller, Semih Cayci

TMLR 2024 Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm Semih Cayci, Niao He, R. Srikant

ICMLW 2024 Recurrent Natural Policy Gradient for POMDPs Semih Cayci, Atilla Eryilmaz

ICML 2023 Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He

NeurIPS 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards Semih Cayci, Atilla Eryilmaz

AAAI 2022 A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback Semih Cayci, Yilin Zheng, Atilla Eryilmaz

AISTATS 2020 Budget-Constrained Bandits over General Cost and Reward Distributions Semih Cayci, Atilla Eryilmaz, R Srikant

NeurIPS 2020 Group-Fair Online Allocation in Continuous Time Semih Cayci, Swati Gupta, Atilla Eryilmaz