Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL. - Enoch H. Kang; P. R. Kumar 001 (NeurIPS, 2024)

An Empirical Risk Minimization Approach for Offline Inverse Reinforcement Learning and Dynamic Discrete Choice Models. - Enoch Hyunwook Kang; Hema Yoganarasimhan; Lalit Jain (EC, 2025)

Gradients can train reward models: An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model. - Enoch H. Kang; Hema Yoganarasimhan; Lalit Jain (CoRR, 2025)