Desik Rengarajan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Function Approximation

Video Streaming

Reinforcement Learning

Top Venues

IEEE/ACM Trans. Netw.

Publications

Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
Structured Reinforcement Learning for Media Streaming at the Wireless Edge. CoRR (2024)
Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
Federated Ensemble-Directed Offline Reinforcement Learning. CoRR (2023)
Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. CoRR (2023)
Archana Bura, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. IEEE/ACM Trans. Netw. 30 (1) (2022)
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. CoRR (2022)
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. ICLR (2022)
Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. CoRR (2022)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Bainan Xia, Srinivas Shakkottai, Dileep Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge. IEEE/ACM Trans. Netw. 30 (1) (2022)
Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. NeurIPS (2022)
Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning for Mean Field Games with Strategic Complementarities. AISTATS (2021)
Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games. CoRR (2020)
Archana Bura, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland-Tremblay
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. CoRR (2020)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. MobiHoc (2019)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. CoRR (2019)
Chirag Ramesh Srivatsa, Desik Rengarajan, Vamsi Krishna Tumuluru
Modeling demand flexibility of electric vehicles. SmartGridComm (2017)