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Soft Forward-Backward Representations for Zero-shot Reinforcement Learning with General Utilities
A soft forward-backward algorithm learns stochastic policies from unlabeled data to optimize arbitrary differentiable occupancy utilities directly at test time via zero-order search over compact embeddings.
Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026
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