Author

Qian-Li Wu

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#artificial intelligence Preprint Sep 2026

Beyond Conservatism: Recoverability-Conditioned Exploration for Model-Based Imitation Learning

Experiments on locomotion, navigation and manipulation show consistent gains in interaction efficiency, imitation performance, and robustness, indicating that RECON directs real-environment interaction toward recovery regions around the expert distribution that are underexplored by prior methods, and thereby learns a w...

Xuan-Lin Chen, Zi-Yue Wang, Xunlan Zhou et al. · 0 citations

#artificial intelligence Preprint Aug 2026

A Pinch of SFT, A Dash of RL: When Reinforcement Learning Helps Long-Horizon Advertising Agents

This work studies how to balance SFT and RL under production-mirroring beta APIs, and observes that, in a controlled experiment, checkpoint trajectories retrospectively separated into three regimes: Imitation, where SFT captured reliable teacher behavior; Lift, where both stages helped; and Discovery, where useful rewa...

Aakash Kolekar, Sahika Genc, Bunyamin Sisman et al. · 0 citations