Yi Zhao

According to our database, Yi Zhao authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Slot Attention with Re-Initialization and Self-Distillation.

Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen

CoRR, July, 2025

Symbolically-Guided Visual Plan Inference from Uncurated Video Data.

Wenyan Yang, Ahmet Tikna, Yi Zhao, Yuying Zhang, Luigi Palopoli, Marco Roveri, Joni Pajarinen

CoRR, May, 2025

Generalist World Model Pre-Training for Efficient Reinforcement Learning.

Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen

CoRR, February, 2025

Discrete Codebook World Models for Continuous Control.

Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.

Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala

Int. J. Comput. Vis., July, 2024

iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning.

Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen

CoRR, 2024

Optimistic Multi-Agent Policy Gradient.

Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bi-Level Motion Imitation for Humanoid Robots.

Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands.

Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Continuous Monte Carlo Graph Search.

Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Optimistic Multi-Agent Policy Gradient for Cooperative Tasks.

Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen

CoRR, 2023

Simplified Temporal Consistency Reinforcement Learning.

Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen

Proceedings of the International Conference on Machine Learning, 2023

2022

Continuous Monte Carlo Graph Search.

Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen

CoRR, 2022

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.

Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning.

Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala

Proceedings of the 20th International Conference on Advanced Robotics, 2021

2020

Hierarchical Scene Coordinate Classification and Regression for Visual Localization.

Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020