RewardWeaver: Long-Horizon Interactive Learning for Language Agents via Self-Evolving Reward Adaptation
RewardWeaver is introduced, a self-evolving reward adaptation framework for language agents in long-horizon interaction that maintains a validated capability space in which the semantics of admitted Rubrics remain fixed, and closes the loop between policy optimization, task evaluation, failure attribution, and reward a...
Heng-Bo Xiao, Bo-Yao Zhang, Pu-Rui Liu et al.
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