#artificial intelligence
May 2026
Skill Reuse as Compression in Agentic RL
This work proves a PAC-Bayes bound guaranteeing that a dictionary extracted from successful trajectories has bounded expected description length on future successful behavior, and introduces ReuseRL, which grounds agentic RL in the Minimum Description Length (MDL) principle.
Zhikun Xu, Yu Feng, Jacob Dineen et al.
· arXiv.org · 1 citation