Desik Rengarajan

According to our database, Desik Rengarajan authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

SustainDC - Benchmarking for Sustainable Data Center Control.

Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar

CoRR, 2024

Structured Reinforcement Learning for Media Streaming at the Wireless Edge.

Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai

Proceedings of the Twenty-fifth International Symposium on Theory, 2024

2023

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics.

Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

CoRR, 2023

Federated Ensemble-Directed Offline Reinforcement Learning.

Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai

CoRR, 2023

2022

Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms.

Archana Bura, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland

IEEE/ACM Trans. Netw., 2022

QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge.

Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Bainan Xia, Srinivas Shakkottai, Dileep Kalathil, Ricky K. P. Mok, Amogh Dhamdhere

IEEE/ACM Trans. Netw., 2022

Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments.

Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai

CoRR, 2022

Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments.

Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration.

Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Reinforcement Learning for Mean Field Games with Strategic Complementarities.

Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games.

Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai

CoRR, 2020

2019

QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks.

Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

2017

Modeling demand flexibility of electric vehicles.

Chirag Ramesh Srivatsa, Desik Rengarajan, Vamsi Krishna Tumuluru

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017