Publications#

This page lists papers and technical reports associated with RLinf. Detailed publication pages (with results and quickstart links) are linked below.

Detailed publication pages#

Publication

Focus

Paper

STEAM

Self-supervised temporal ensemble advantage modeling for real-world robot learning.

arXiv:2606.29834

RLinf-USER

Unified system for real-world online policy learning.

RSS 2026

RLinf-VLA

Unified framework for VLA+RL training.

RSS 2026

RLinf-Co

Reinforcement learning-based sim-real co-training for VLA models.

arXiv:2602.12628

RLinf

Flexible and efficient RL system.

OSDI 2026

DynaRL

Flexible and dynamic scheduling for large-scale RL training.

OSDI 2026

πRL

Online RL fine-tuning for flow-based VLA models.

arXiv:2510.25889

WoVR

World model-based RL fine-tuning for VLA policies.

arXiv:2602.13977

WideSeek-R1

Exploring width scaling for broad information seeking via multi-agent reinforcement learning.

arXiv:2602.04634