Anthony Wang — accepted AI-conference papers

2026

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Yunzhong He, Bing Liu +1

ICLR 2026poster

Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective for complex reasoning tasks with clear correctness signals such as math and coding. However, extending it to real-world reasoning tasks is challenging, as evaluation depends on nuanced, multi-criteria judgments rather than bi…

Cited by 0 Source ↗Scholar ↗

2021

Mobile Manipulator for Autonomous Localization, Grasping and Precise Placement of Construction Material in a Semi-Structured Environment

Petr Stibinger, George Broughton, Filip Majer, Zdenek Rozsypálek, Anthony Wang, Kshitij Jindal +5

RA-L 2021

Mobile manipulators have the potential to revolutionize modern agriculture, logistics and manufacturing. In this work, we present the design of a ground-based mobile manipulator for automated structure assembly. The proposed system is capable of autonomous localization, grasping, transportation and

Cited by 78 Source ↗Scholar ↗