Author

Ning Liu

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#artificial intelligence Preprint Oct 2026

SERO: Learning from Executable Oracle Continuations for Long-Horizon Agentic Reinforcement Learning

Long-horizon agentic RL is constrained by the futures visited by the current policy. When rollouts fail to reach useful behaviors, improved credit assignment cannot provide supervision for states and actions that were never encountered. On-policy distillation (OPD) introduces teacher guidance on policy-induced states,...

Ding-Yi Rong, Yue Shi, Chaofan Ma et al. · 0 citations

2026

PCDA: Pseudo-Label Correction for Source-Free Universal Domain Adaptation in Remote Sensing Scene Classification

The precise classification of remote sensing images is crucial for applications such as disaster monitoring, land use planning, and national security. Since effective classification models often rely on large, well-annotated datasets, the remote sensing field faces two persistent challenges: the limited availability of...

Dan Song, Ning Liu, Yu-Ting Ling et al. · IEEE Transactions on Geoscie... · 0 citations

Preprint Aug 2026

H2R-Bench: Benchmarking Human-to-Robot Manipulation Video Generation in World Models

H2R-Bench provides a systematic diagnostic framework for evaluating whether video world models can bridge the human-to-robot embodiment gap and convert human manipulation observations into robot-centric training resources.

Ding-Yi Rong, Yue Shi, Chaofan Ma et al. · 1 citation