Peihong Yu

According to our database, Peihong Yu authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Zero Shot Coordination for Sparse Reward Tasks with Diverse Reward Shapings.

Keenan Powell, Peihong Yu, Pratap Tokekar

CoRR, April, 2026

VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels.

Chen Chen, Hannah K. Bako, Peihong Yu, John Hooker, Jeffrey Joyal, Simon C. Wang, Samuel Kim, Jessica Wu, Aoxue Ding, Lara Sandeep, Alex Chen, Chayanika Sinha, Zhicheng Liu

IEEE Trans. Vis. Comput. Graph., January, 2026

2025

VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences.

Anukriti Singh, Amisha Bhaskar, Peihong Yu, Souradip Chakraborty, Ruthwik Dasyam, Amrit Singh Bedi, Pratap Tokekar

CoRR, March, 2025

Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches.

Peihong Yu, Amisha Bhaskar, Anukriti Singh, Zahiruddin Mahammad, Pratap Tokekar

CoRR, March, 2025

TACTIC: Task-Agnostic Contrastive pre-Training for Inter-Agent Communication.

Peihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar

CoRR, January, 2025

Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning.

Peihong Yu, Manav Mishra, Alec Koppel, Carl E. Busart, Priya Narayan, Dinesh Manocha, Amrit Singh Bedi, Pratap Tokekar

Trans. Mach. Learn. Res., 2025

On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning.

Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Task-Agnostic Contrastive pre-Training for Inter-Agent Communication.

Peihong Yu, Manav Mishra, Syed Zaidi, Pratap Tokekar

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Learning with Less Effort: Efficient Training and Generalization in (Multi-)Robot Systems.

Peihong Yu

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

On the Sample Complexity of a Policy Gradient Algorithm with Occupancy Approximation for General Utility Reinforcement Learning.

Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi

CoRR, 2024

2023

Enhancing Multi-Agent Coordination through Common Operating Picture Integration.

Peihong Yu, Bhoram Lee, Aswin Raghavan, Supun Samarasekera, Pratap Tokekar, James Zachary Hare

CoRR, 2023

2020

Accurate Line-Based Relative Pose Estimation With Camera Matrices.

Peihong Yu, Cen Wang, Zhirui Wang, Jingyi Yu, Laurent Kneip

IEEE Access, 2020

2017

Ray Space Features for Plenoptic Structure-from-Motion.

Yingliang Zhang, Peihong Yu, Wei Yang, Yuanxi Ma, Jingyi Yu

Proceedings of the IEEE International Conference on Computer Vision, 2017

The light field 3D scanner.

Yingliang Zhang, Zhong Li, Wei Yang, Peihong Yu, Haiting Lin, Jingyi Yu

Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017