2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness
Kağan Akman, Naci Saldi, Serdar Yüksel
We derive finite-sample generalization bounds for Transformers trained with dynamic programming recursions. Building on the doubly lifted, measure-valued formulation of Transformer…
Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward
Şevket Kaan Alkır, Naci Saldı, Berkay Anahtarcı +1
We study inverse reinforcement learning for discrete-time, infinite-horizon mean-field games (MFGs) under an average-reward criterion. Expert demonstrations are assumed to arise fr…
An Optimal Control Approach To Transformer Training
Kağan Akman, Naci Saldı, Serdar Yüksel
In this paper, we develop a rigorous optimal control-theoretic approach to Transformer training that respects key structural constraints such as (i) realized-input-independence dur…
Kernel Based Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games
Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi
We consider the maximum causal entropy inverse reinforcement learning (IRL) problem for infinite-horizon stationary mean-field games (MFG), in which we model the unknown reward fun…