Stone Tao

Orcid: 0000-0003-0291-8600

According to our database1, Stone Tao authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge.
CoRR, January, 2026

2025
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
MetaWriter: Exploring the Potential and Perils of AI Writing Support in Scientific Peer Review.
Proc. ACM Hum. Comput. Interact., 2024

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI.
CoRR, 2024

Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning.
CoRR, 2024

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Emergent collective intelligence from massive-agent cooperation and competition.
CoRR, 2023

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization.
Proceedings of the International Conference on Machine Learning, 2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.
CoRR, 2021

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021


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