The authors developed Adaptive Rubric-Skill Co-Evolution, or ARISE, for training agents on long, multi-step tasks.
Adaptive feedback helps reinforcement-learning agents target their changing weaknesses
ARISE updates behavioral criteria, exploration guidance and task sampling as a long-horizon agent’s capabilities evolve.
Chinese Tech
Kun Feng · Yuchen Fang · Yiyang Tan · Shuqi Gu · Yongxiang Zhao · Yu Liu · +3 more
ShanghaiTech University · Ant Group
Research Digest··2 min read
Feng et al.
Why this paper
From Ant Group and ShanghaiTech University
In one line
ARISE adapts evaluation criteria and training priorities to an agent's evolving capabilities, improving long-horizon task performance.
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