Yihang Yao

Orcid: 0009-0005-6093-853X

According to our database1, Yihang Yao authored at least 9 papers between 2023 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning.
CoRR, 2024

Gradient shaping for multi-constraint safe reinforcement learning.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Feasibility Consistent Representation Learning for Safe Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning from Sparse Offline Datasets via Conservative Density Estimation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
An Integrated in Situ Image Acquisition and Annotation Scheme for Instance Segmentation Models in Open Scenes With a Human-Robot Interaction Approach.
IEEE Trans. Hum. Mach. Syst., October, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.
CoRR, 2023

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.
Proceedings of the International Conference on Machine Learning, 2023


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