by Stone Tao Papers

6 papers found

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Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks

Arth Shukla, Stone Tao, Hao Su

ICLR 2025arXiv:2412.13211
15
citations

Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning

Adrià López Escoriza, Nicklas Hansen, Stone Tao et al.

ICML 2025arXiv:2503.01837
5
citations

MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans

Huiyi Wang, Chun Kwang Tan, Balint Hodossy et al.

NEURIPS 2025oral

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model

Xiu Yuan, Tongzhou Mu, Stone Tao et al.

ICLR 2025arXiv:2412.13630
32
citations

Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning

Sid Bharthulwar, Stone Tao, Hao Su

NEURIPS 2025arXiv:2511.21011

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency

Stone Tao, Arth Shukla, Tse-kai Chan et al.

ICLR 2024