Gaurav Bagwe

According to our database, Gaurav Bagwe authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease.

Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan, Chunxiu Yu, Lan Zhang

CoRR, July, 2025

2024

Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning.

Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu

Proceedings of the IEEE Intelligent Mobile Computing, 2024

2023

Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning.

Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang

CoRR, 2023

Joint Computing Resource and Bandwidth Allocation for Semantic Communication Networks.

Fangzhou Zhao, Gaurav Bagwe, Ezedin Mohammed, Lei Feng, Lan Zhang, Yao Sun

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang

Proceedings of the IEEE International Conference on Mobility, 2023

Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning.

Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning.

Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang

CoRR, 2022

Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning.

Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022