| Two-stream RNN/CNN for action recognition in 3D videos R Zhao, H Ali, P Van der Smagt 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 105 | 2017 |
| Maximum Entropy-Regularized Multi-Goal Reinforcement Learning R Zhao, X Sun, V Tresp 2019 International Conference on Machine Learning (ICML), 2019 | 83 | 2019 |
| Energy-based hindsight experience prioritization R Zhao, V Tresp 2018 Conference on Robot Learning (CoRL) (Oral), 2018 | 64 | 2018 |
| Curiosity-Driven Experience Prioritization via Density Estimation R Zhao, V Tresp 2018 NeurIPS (NIPS) Deep Reinforcement Learning Workshop, 2019 | 61 | 2019 |
| Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination R Zhao, J Song, Y Yuan, H Haifeng, Y Gao, Y Wu, Z Sun, W Yang The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), 2023 | 21 | 2023 |
| Mutual Information State Intrinsic Control R Zhao, Y Gao, P Abbeel, V Tresp, W Xu 2021 International Conference on Learning Representations (ICLR) (Spotlight), 2021 | 21 | 2021 |
| Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient R Zhao, V Tresp 2018 IJCAI Linguistic and Cognitive Approaches To Dialog Agents Workshop, 2018 | 21 | 2018 |
| Learning goal-oriented visual dialog via tempered policy gradient R Zhao, V Tresp 2018 IEEE Spoken Language Technology (SLT), 868-875, 2018 | 16 | 2018 |
| Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks J Gu, R Zhao, V Tresp 2021 International Joint Conference on Neural Networks (IJCNN), 2021 | 15* | 2021 |
| Addressing hindsight bias in multigoal reinforcement learning C Bai, L Wang, Y Wang, Z Wang, R Zhao, C Bai, P Liu IEEE Transactions on Cybernetics, 2021 | 11 | 2021 |
| Efficient dialog policy learning via positive memory retention R Zhao, V Tresp 2018 IEEE Spoken Language Technology (SLT), 823-830, 2018 | 9* | 2018 |
| Lifelike agility and play on quadrupedal robots using reinforcement learning and generative pre-trained models L Han, Q Zhu, J Sheng, C Zhang, T Li, Y Zhang, H Zhang, Y Liu, C Zhou, ... arXiv preprint arXiv:2308.15143, 2023 | 3 | 2023 |
| RECCraft System: Towards Reliable and Efficient Collective Robotic Construction Q Xu, Y Zhang, S Zhang, R Zhao, Z Wu, D Zhang, C Zhou, X Li, J Chen, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 3 | 2022 |
| Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp 2020 IEEE International Conference on Healthcare Informatics (ICHI) (Best Paper), 2020 | 2 | 2020 |
| Maximum entropy regularised multi-goal reinforcement learning V Tresp, R Zhao US Patent App. 16/385,209, 2020 | 1 | 2020 |
| CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning R Zhao, X Liu, Y Zhang, M Li, C Zhou, S Li, L Han Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | | 2023 |
| Auto-Encoding Inverse Reinforcement Learning K Zhang, R Zhao, Z Zhang, Y Gao | | 2021 |
| Deep reinforcement learning in robotics and dialog systems R Zhao Ludwig Maximilian University of Munich, 2020 | | 2020 |
Volker TrespLudwig Maximilian University of Munich / München (LMU)Verified email at dbs.ifi.lmu.de
