17 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Efficient RL for optimizing conversation level outcomes with an LLM-based tutor
Hyunji Nam, Omer Gottesman, Amy Zhang +3
Large language models (LLMs) built on existing reinforcement learning with human feedback (RLHF) frameworks typically optimize responses based on immediate turn-level human prefere…
cs.LG2019★ 17 cited
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
Andrea Zanette, David Brandfonbrener, Emma Brunskill +2
We consider the exploration-exploitation dilemma in finite-horizon reinforcement learning (RL). When the state space is large or continuous, traditional tabular approaches are unfe…