Research map / Reinforcement learning / RL from feedback
Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning
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
- PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation (ICML 2024 · similarity 0.88)
- What Matters to You? Towards Visual Representation Alignment for Robot Learning (ICLR 2024 · similarity 0.87)
- Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning (ICLR 2025 · similarity 0.87)
- Robot Policy Learning with Temporal Optimal Transport Reward (NeurIPS 2024 · similarity 0.87)
- Policy-labeled Preference Learning: Is Preference Enough for RLHF? (ICML 2025 · similarity 0.86)
- In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning (AAAI 2025 · similarity 0.86)
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.