Finite Time Regret Bounds for Self-Tuning Regulation ICML 2024 [PDF]
Authors: R. Singh, Akshay Mete, A. Kar and P. R. Kumar
2. Cyber-Secure and Safe Operation of Solar Photovoltaic Power Distribution Systems, IEEE APEC 24
Authors: J. Kim, H. Ibrahim, S. Wang, Akshay Mete, L. Xie, P. Enjeti, and P. R. Kumar
3. The Reward Biased Method: An Optimism based approach for Reinforcement Learning, Allerton 23 (Invited Paper)
Authors: :Akshay Mete, R. Singh, and P. R. Kumar
4. Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems, NeurIPS 2022 [PDF]
Authors: Akshay Mete, R. Singh, and P. R. Kumar
5. Reward Biased Maximum Likelihood Estimation, CISS 2023 (Invited Paper) [PDF]
Authors: Akshay Mete, R. Singh, and P. R. Kumar
6. Partial Server Pooling in Delay Systems, ACM TOMPECS [PDF]
Authors: V Rohit, Akshay Mete, D. Manjunath, J. Nair, B Prabhu
7. Reward Biased Maximum Likelihood Estimation for Reinforcement Learning, L4DC 2021 [PDF]
Authors: Akshay Mete, R. Singh, Xi Liu and P. R. Kumar
8. Partial Server Pooling in Redundancy Systems, ITC 2019 [PDF]
Authors: Akshay Mete, D. Manjunath, J. Nair, B Prabhu
9. Caching policies for D2D-assisted content delivery systems, EdgeTech- Mobicom 19 [PDF]
Authors: Akshay Mete and Sharayu Moharir
10. Low Latency Scheduling for D2D Communication, COMSNETS 19 [PDF]
Author: Akshay Mete
Pre-Prints
1. Value-Biased Maximum Likelihood Estimation for Model-based RL in Discounted Linear MDPs, Arxiv 23 [PDF]
Authors: Y. Hung, P. Hsieh, Akshay Mete, and P. R. Kumar