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AI Alignment: A Comprehensive Survey., , , , , , , , , and 15 other author(s). CoRR, (2023)PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models., , , , , , , , and . CoRR, (2024)SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset., , , , , , and . CoRR, (2024)ProgressGym: Alignment with a Millennium of Moral Progress., , , , , and . CoRR, (2024)BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset., , , , , , , , , and . NeurIPS, (2023)Safe RLHF: Safe Reinforcement Learning from Human Feedback., , , , , , , and . ICLR, OpenReview.net, (2024)Language Models Resist Alignment., , , , , , , and . CoRR, (2024)MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 233-250. PMLR, (2021)Constrained Update Projection Approach to Safe Policy Optimization., , , , , , , and . NeurIPS, (2022)CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning., , , , , and . CoRR, (2022)