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Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers

In-context preference-based RL trains transformers solely on preference feedback, achieving reward-free in-context generalization comparable to fully supervised methods.

Juncheng Dong, Moyang Guo, Bowen He, Ethan Fang and 2 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5