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News/Value-Free Policy Optimization via Reward Partitioning
arxiv
PublishedJune 2, 2026 at 4:00 AM
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Value-Free Policy Optimization via Reward Partitioning

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arXiv:2506.13702v4 Announce Type: replace-cross Abstract: Single-trajectory preference optimization methods learn from datasets of ((prompt, response, reward)) tuples, offering a practical alternative to pairwise preference learning by directly leveraging scalar feedback. Existing approaches such as

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