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Akshay Mete
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2020 – today
- 2024
- [c8]Rahul Singh, Akshay Mete, Avik Kar, Panganamala R. Kumar:
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation. ICML 2024 - 2023
- [c7]Akshay Mete, Rahul Singh, P. R. Kumar:
The Reward Biased Method: An Optimism based Approach for Reinforcement Learning. Allerton 2023: 1-7 - [i5]Rahul Singh, Akshay Mete, Avik Kar, P. R. Kumar:
Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs. CoRR abs/2305.16974 (2023) - [i4]Yu-Heng Hung, Ping-Chun Hsieh
, Akshay Mete, P. R. Kumar:
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs. CoRR abs/2310.11515 (2023) - 2022
- [c6]Akshay Mete, Rahul Singh, P. R. Kumar:
The RBMLE method for Reinforcement Learning. CISS 2022: 107-112 - [c5]Akshay Mete, Rahul Singh, P. R. Kumar:
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems. NeurIPS 2022 - [i3]Akshay Mete, Rahul Singh, P. R. Kumar:
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems. CoRR abs/2201.10542 (2022) - 2021
- [c4]Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar:
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. L4DC 2021: 815-827 - 2020
- [i2]Akshay Mete, Rahul Singh, P. R. Kumar:
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. CoRR abs/2011.07738 (2020)
2010 – 2019
- 2019
- [c3]Akshay Mete:
Low Latency Scheduling for D2D Communication. COMSNETS 2019: 448-450 - [c2]Akshay Mete, D. Manjunath, Jayakrishnan Nair, Balakrishna J. Prabhu:
Partial Server Pooling in Redundancy Systems. ITC 2019: 106-114 - [i1]Akshay Mete, D. Manjunath, Jayakrishnan Nair, Balakrishna J. Prabhu:
Partial Server Pooling in Redundancy Systems. CoRR abs/1906.03587 (2019) - 2018
- [c1]Akshay Mete, Sharayu Moharir:
Caching Policies for D2D-Assisted Content Delivery Systems. EdgeTech@MobiCom 2018: 3-7
Coauthor Index
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last updated on 2024-09-02 20:26 CEST by the dblp team
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