Research map / Reinforcement learning / RL from feedback
Learning Rewards From Linguistic Feedback
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Reward Learning from Multiple Feedback Types (ICLR 2025 · similarity 0.89)
- RLVF: Learning from Verbal Feedback without Overgeneralization (ICML 2024 · similarity 0.88)
- REvolve: Reward Evolution with Large Language Models using Human Feedback (ICLR 2025 · similarity 0.88)
- Capturing Individual Human Preferences with Reward Features (NeurIPS 2025 · similarity 0.88)
- MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions (ICLR 2025 · similarity 0.88)
- Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.