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MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning., , , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 3654-3671. PMLR, (2023)Visual Adversarial Imitation Learning using Variational Models., , , and . NeurIPS, page 3016-3028. (2021)Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback., , , , , , , and . EMNLP, page 5433-5442. Association for Computational Linguistics, (2023)OpenVLA: An Open-Source Vision-Language-Action Model., , , , , , , , , and 8 other author(s). CoRR, (2024)Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration., , , , , , , , , and 269 other author(s). ICRA, page 6892-6903. IEEE, (2024)Diffusion Model Alignment Using Direct Preference Optimization., , , , , , , , , and . CoRR, (2023)Direct Preference Optimization: Your Language Model is Secretly a Reward Model, , , , , and . (2023)Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents., , , , , , and . CoRR, (2024)Disentangling Length from Quality in Direct Preference Optimization., , , and . ACL (Findings), page 4998-5017. Association for Computational Linguistics, (2024)MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?, , , , , , , , , and 9 other author(s). CoRR, (2024)