Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Perepu, Satheesh K.
27  Ergebnisse:
Personensuche X
?
1

Goals are Enough: Inducing AdHoc Cooperation Among Unseen M..:

, In: 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC),
Dey, Kaushik ; Perepu, Satheesh K. ; Das, Abir - p. 425-432 , 2024
Link: https://doi.org/10.1109/..
 
?
2

DSDF: Coordinated look-ahead strategy in multi-agent reinfo..:

, In: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD),
Perepu, Satheesh Kumar ; Dey, Kaushik ; Das, Abir - p. 73-81 , 2024
Link: https://dl.acm.org/doi/1..
 
?
3

Extending venous thromboembolism secondary prevention with ..:

McBane II, Robert D. ; Loprinzi, Charles L. ; Zemla, Tyler...
Journal of Thrombosis and Haemostasis.  22 (2024)  6 - p. 1704-1714 , 2024
Link: https://doi.org/10.1016/..
 
?
4

Towards Adaptive Networks - Generalized utility functions i..:

, In: 2024 IEEE 10th International Conference on Network Softwarization (NetSoft),
Dey, Kaushik ; Perepu, Satheesh K. ; Das, Abir. - p. 336-340 , 2024
Link: https://doi.org/10.1109/..
 
?
5

The Sinking of HBOS: An Invaluable Lesson to the Contempora..:

Chebolu, Radhamohan ; Perepu, Indu ; Kumar, K. B. S..
Asian Journal of Management Cases.  , 2024
Link: https://doi.org/10.1177/..
 
?
6

Domain Adaptation of Reinforcement Learning Agents based on..:

, In: 2023 IEEE 9th International Conference on Network Softwarization (NetSoft),
Dey, Kaushik ; Perepu, Satheesh K. ; Dasgupta, Pallab. - p. 152-160 , 2023
Link: https://doi.org/10.1109/..
 
?
7

Smart Contextual Modeling for Customer Data Interchange:

, In: 2023 IEEE 20th India Council International Conference (INDICON),
Saravanan, M. ; Perepu, Satheesh K. - p. 655-660 , 2023
Link: https://doi.org/10.1109/..
 
?
8

Goals are Enough: Inducing AdHoc cooperation among unseen M..:

Dey, Kaushik ; Perepu, Satheesh K ; Das, Abir
http://arxiv.org/abs/2310.17416.  , 2023
Link: http://arxiv.org/abs/231..
 
?
9

Domain Adaptation of Reinforcement Learning Agents based on..:

Dey, Kaushik ; Perepu, Satheesh K ; Dasgupta, Pallab.
http://arxiv.org/abs/2303.01013.  , 2023
Link: http://arxiv.org/abs/230..
 
?
10

Optimize Next State Prediction in Safe RL for 5G Ecosystem:

, In: 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS),
Perepu, Satheesh K. ; Saravanan, M. - p. 652-657 , 2022
Link: https://doi.org/10.1109/..
 
?
11

Advanced Machine Learning Framework for Efficient Plant Dis..:

, In: 2022 5th Asia Conference on Machine Learning and Computing (ACMLC),
Aswath, M ; Sowdeshwar, S ; Saravanan, M. - p. 32-40 , 2022
Link: https://doi.org/10.1109/..
 
?
12

A novel unsupervised method for root cause analysis of anom..:

, In: 2022 10th International Conference on Systems and Control (ICSC),
Perepu, Satheesh K. ; Pinnamaraju, Vivek Shankar - p. 416-422 , 2022
Link: https://doi.org/10.1109/..
 
?
13

Intent-based multi-agent reinforcement learning for service..:

, In: GLOBECOM 2022 - 2022 IEEE Global Communications Conference,
Perepu, Satheesh K. ; Martins, Jean P. ; S, Ricardo Souza. - p. 2879-2884 , 2022
Link: https://doi.org/10.1109/..
 
?
14

Multi-agent reinforcement learning for intent-based service..:

Perepu, Satheesh K ; Martins, Jean P ; S, Ricardo Souza.
http://arxiv.org/abs/2208.03740.  , 2022
Link: http://arxiv.org/abs/220..
 
?
15

Resource-Constrained Federated Learning with Heterogeneous ..:

, In: Communications in Computer and Information Science; Deep Learning for Human Activity Recognition,
Gudur, Gautham Krishna ; Perepu, Satheesh Kumar - p. 57-69 , 2021
Link: https://doi.org/10.1007/..
 
1-15