Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. - Gaurav Bagwe; Jian Li 031; Xiaoheng Deng; Xiaoyong Yuan; Lan Zhang 005 (SEC, 2022)

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. - Gaurav Bagwe; Jian Li 031; Xiaoyong Yuan; Lan Zhang 005 (CoRR, 2022)

Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. - Madhureeta Das; Gaurav Bagwe; Miao Pan; Xiaoyong Yuan; Lan Zhang 005 (ICMLA, 2023)

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. - Gaurav Bagwe; Xiaoyong Yuan; Xianhao Chen; Lan Zhang 005 (MOST, 2023)

Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks. - Fangzhou Zhao; Gaurav Bagwe; Ezedin Mohammed; Lei Feng 001; Lan Zhang 005; Yao Sun 002 (VTC Fall, 2023)

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. - Gaurav Bagwe; Xiaoyong Yuan; Miao Pan; Lan Zhang 005 (CoRR, 2023)

Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. - Jessica Mehregan; Xiaoyong Yuan; Gaurav Bagwe; Jacob Jackson; Ezedin Mohammed; Lan Zhang 005; Chunxiu Yu (MobileCloud, 2024)

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease. - Harsh Ravivarapu; Gaurav Bagwe; Xiaoyong Yuan; Chunxiu Yu; Lan Zhang 005 (CoRR, 2025)