| Sim-to-real transfer in deep reinforcement learning for robotics: a survey W Zhao, JP Queralta, T Westerlund 2020 IEEE symposium series on computational intelligence (SSCI), 737-744, 2020 | 1001 | 2020 |
| MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net W Zhao, D Jiang, JP Queralta, T Westerlund Informatics in Medicine Unlocked 19, 100357, 2020 | 122* | 2020 |
| Towards closing the sim-to-real gap in collaborative multi-robot deep reinforcement learning W Zhao, JP Queralta, L Qingqing, T Westerlund 2020 5th International conference on robotics and automation engineering …, 2020 | 43 | 2020 |
| Ubiquitous distributed deep reinforcement learning at the edge: Analyzing byzantine agents in discrete action spaces W Zhao, JP Queralta, L Qingqing, T Westerlund Procedia Computer Science 177, 324-329, 2020 | 12 | 2020 |
| Simplified temporal consistency reinforcement learning Y Zhao, W Zhao, R Boney, J Kannala, J Pajarinen International Conference on Machine Learning (ICML), 42227-42246, 2023 | 11 | 2023 |
| Less is more: Robust robot learning via partially observable multi-agent reinforcement learning W Zhao, EA Rantala, J Pajarinen, JP Queralta arXiv preprint arXiv:2309.14792, 2023 | 7 | 2023 |
| Self-Paced Multi-Agent Reinforcement Learning W Zhao, J Pajarinen arXiv preprint arXiv:2205.10016, 2022 | 3* | 2022 |
| Bi-Level Motion Imitation for Humanoid Robots W Zhao, Y Zhao, J Pajarinen, M Muehlebach Conference on Robot Learning (CoRL), 2024 | 1 | 2024 |
| Optimistic Multi-Agent Policy Gradient W Zhao, Y Zhao, Z Li, J Kannala, J Pajarinen International Conference on Machine Learning (ICML), 2024 | 1* | 2024 |
| Backpropagation Through Agents Z Li, W Zhao, L Wu, J Pajarinen Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 38 (12 …, 2024 | 1 | 2024 |
| Cooperative Multi-Agent Planning with Adaptive Skill Synthesis Z Li, W Zhao, J Pajarinen arXiv preprint arXiv:2502.10148, 2025 | | 2025 |
| AgentMixer: Multi-Agent Correlated Policy Factorization Z Li, W Zhao, L Wu, J Pajarinen AAAI Conference on Artificial Intelligence (AAAI), 2025 | | 2025 |
| Learning Progress Driven Multi-Agent Curriculum W Zhao, Z Li, J Pajarinen arXiv preprint arXiv:2205.10016, 2022 | | 2022 |
Jorge Peña QueraltaCTO at DAAV, Adjunct Professor at University of TurkuПідтверджена електронна адреса в daav.ch