From the 1 of 14 linked papers with an AI index.
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Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness
KaÄan Akman, Naci Saldi, Serdar Yüksel
The paper derives finite‑sample generalization bounds for Transformer models by formulating their training as a finite‑horizon Markovian control problem, using quantized approximat…
Maximum Entropy Inverse Reinforcement Learning for Mean-Field Games with Average Reward
Åevket 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
KaÄan 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…