Model-based opponent modeling X Yu, J Jiang, W Zhang, H Jiang, Z Lu NeurIPS 2022, 2022 | 26 | 2022 |
Robust model-based reinforcement learning for autonomous greenhouse control W Zhang, X Cao, Y Yao, Z An, X Xiao, D Luo ACML 2021, 2021 | 24 | 2021 |
Sample efficient reinforcement learning via model-ensemble exploration and exploitation Y Yao, L Xiao, Z An, W Zhang, D Luo ICRA 2021, 2021 | 21 | 2021 |
igrow: A smart agriculture solution to autonomous greenhouse control X Cao, Y Yao, L Li, W Zhang, Z An, Z Zhang, L Xiao, S Guo, X Cao, M Wu, ... AAAI 2022, 2022 | 16 | 2022 |
A simulator-based planning framework for optimizing autonomous greenhouse control strategy Z An, X Cao, Y Yao, W Zhang, L Li, Y Wang, S Guo, D Luo ICAPS 2021, 2021 | 9 | 2021 |
Entity divider with language grounding in multi-agent reinforcement learning Z Ding, W Zhang, J Yue, X Wang, T Huang, Z Lu ICML 2023, 2023 | 7 | 2023 |
Efficient and stable information directed exploration for continuous reinforcement learning M Chen, X Xiao, W Zhang, X Gao ICASSP 2022, 2022 | 5 | 2022 |
Self-paced probabilistic principal component analysis for data with outliers B Zhao, X Xiao, W Zhang, B Zhang, G Gan, S Xia ICASSP 2020, 2020 | 4 | 2020 |
AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback W Zhang, Z Lu NAACL 2024, 2023 | 3* | 2023 |
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning W Zhang, X Xiao, Y Yao, M Chen, D Luo arXiv preprint arXiv:2108.01295, 2021 | 1 | 2021 |
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation W Zhang, Y Li, B Yang, Z Lu ICML 2024, 2024 | | 2024 |
Method, device and equipment for determining parameters and storage medium W Zhang, D Luo, X Xiao CN Patent CN112,527,104 A, 2021 | | 2021 |