Learning in Games

Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences

We consider the problem of regularized best-response max-regret minimization in online RLHF under general preferences and bandit …

Junghyun Lee, Minju Hong, Kwang-Sung Jun, Chulhee Yun, Se-Young Yun