Zhikun Xu
1 indexed paper
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126
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ML×1AI×1
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2026
Skill Reuse as Compression in Agentic RL
The paper proposes ReuseRL, a method that improves agent generalization in Reinforcement Learning by enforcing structural compressibility of successful agent trajectories into reusable skills.
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Papers
cs.LGcs.AIRecentMay 29, 2026
Skill Reuse as Compression in Agentic RL
Zhikun Xu, Yu Feng, Jacob Dineen, Taiwei Shi +2 more
The paper proposes ReuseRL, a method that improves agent generalization in Reinforcement Learning by enforcing structural compressibility of successful agent trajectories into reusable skills.
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