6 citations · 6 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.LG2021★ 6 cited
Learning Markov State Abstractions for Deep Reinforcement Learning
Cameron Allen, Neev Parikh, Omer Gottesman +1
A fundamental assumption of reinforcement learning in Markov decision processes (MDPs) is that the relevant decision process is, in fact, Markov. However, when MDPs have rich obser…