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2020 – today
- 2024
[c5]Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu:
Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. MobileCloud 2024: 38-45- 2023
- [c4]Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan
, Lan Zhang:
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. ICMLA 2023: 90-97 - [c3]Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang:
RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. MOST 2023: 23-33 - [c2]Fangzhou Zhao, Gaurav Bagwe, Ezedin Mohammed, Lei Feng, Lan Zhang, Yao Sun:
Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks. VTC Fall 2023: 1-5 - [i2]Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang:
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. CoRR abs/2307.04869 (2023) - 2022
- [c1]Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang:
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. SEC 2022: 313-315 - [i1]Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang:
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. CoRR abs/2208.07307 (2022)
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