Yi Zhao

26 papers A* 5A 1B 1Misc 2Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sparsely Supervised Diffusion.
CoRR
Wenshuai Zhao, Zhiyuan Li, Yi Zhao, Mohammad Hassan Vali, Martin Trapp, Joni Pajarinen, Juho Kannala, Arno Solin
2025 J jnl
Dexterous Robotic Piano Playing at Scale.
CoRR
Le Chen, Yi Zhao, Jan Schneider, Quankai Gao, Simon Guist, Cheng Qian, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2025 A* conf
Discrete Codebook World Models for Continuous Control.
ICLR
Aidan Scannell, Mohammadreza Nakhaeinezhadfard, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025 J jnl
Discrete Codebook World Models for Continuous Control.
CoRR
Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen
2025 J jnl
Generalist World Model Pre-Training for Efficient Reinforcement Learning.
CoRR
Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen
2025 J jnl
Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report.
CoRR
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul E. Chang
2025 A* conf
Slot Attention with Re-Initialization and Self-Distillation.
ACM Multimedia
Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025 J jnl
Slot Attention with Re-Initialization and Self-Distillation.
CoRR
Rongzhen Zhao, Yi Zhao, Juho Kannala, Joni Pajarinen
2025 J jnl
Symbolically-Guided Visual Plan Inference from Uncurated Video Data.
CoRR
Wenyan Yang, Ahmet Tikna, Yi Zhao, Yuying Zhang, Luigi Palopoli, Marco Roveri, Joni Pajarinen
2024 Misc conf
Bi-Level Motion Imitation for Humanoid Robots.
CoRL
Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach
2024 J jnl
Bi-Level Motion Imitation for Humanoid Robots.
CoRR
Wenshuai Zhao, Yi Zhao, Joni Pajarinen, Michael Muehlebach
2024 A conf
Continuous Monte Carlo Graph Search.
AAMAS
Kalle Kujanpää, Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2024 J jnl
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.
Int. J. Comput. Vis.
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
2024 A* conf
Optimistic Multi-Agent Policy Gradient.
ICML
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
2024 Misc conf
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands.
CoRL
Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2024 J jnl
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands.
CoRR
Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler
2024 J jnl
iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning.
CoRR
Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen
2023 J jnl
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.
CoRR
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala
2023 J jnl
Optimistic Multi-Agent Policy Gradient for Cooperative Tasks.
CoRR
Wenshuai Zhao, Yi Zhao, Zhiyuan Li, Juho Kannala, Joni Pajarinen
2023 A* conf
Simplified Temporal Consistency Reinforcement Learning.
ICML
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
2023 J jnl
Simplified Temporal Consistency Reinforcement Learning.
CoRR
Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen
2022 B conf
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.
ESANN
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
2022 J jnl
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning.
CoRR
Yi Zhao, Rinu Boney, Alexander Ilin, Juho Kannala, Joni Pajarinen
2022 J jnl
Continuous Monte Carlo Graph Search.
CoRR
Amin Babadi, Yi Zhao, Juho Kannala, Alexander Ilin, Joni Pajarinen
2021 — conf
Learning to Drive (L2D) as a Low-Cost Benchmark for Real-World Reinforcement Learning.
ICAR
Ari Viitala, Rinu Boney, Yi Zhao, Alexander Ilin, Juho Kannala
2020 A* conf
Hierarchical Scene Coordinate Classification and Regression for Visual Localization.
CVPR
Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala