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cs.AI2025
TextBO: Bayesian Optimization in Language Space for Eval-Efficient Self-Improving AI
Enoch Hyunwook Kang, Hema Yoganarasimhan
Large Language Models (LLMs) have enabled self-improving AI systems that iteratively generate, evaluate, and refine their outcomes. Recent studies show that prompt-optimization-bas…
cs.LG2025
Stability and Generalization for Bellman Residuals
Enoch H. Kang, Kyoungseok Jang
Offline reinforcement learning and offline inverse reinforcement learning aim to recover near-optimal value functions or reward models from a fixed batch of logged trajectories, ye…
cs.LG2025★ 1 cited
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
Enoch H. Kang, Hema Yoganarasimhan, Lalit Jain
We study the problem of estimating Dynamic Discrete Choice (DDC) models, also known as offline Maximum Entropy-Regularized Inverse Reinforcement Learning (offline MaxEnt-IRL) in ma…