most citedAn Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2026★ 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…