Desik Rengarajan

23 papers A* 6A 1B 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Structure-Aided Reinforcement Learning for Media Streaming Over Wireless Edge Networks. IEEE Trans. Netw. Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
2025	A*	`conf`	Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. AAAI Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash
2025	J	`jnl`	Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. CoRR Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash
2025	A*	`conf`	Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. AAAI Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutiérrez, Antonio Guillen, Desik Rengarajan
2024	A*	`conf`	Federated Ensemble-Directed Offline Reinforcement Learning. NeurIPS Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
2024	B	`conf`	Structured Reinforcement Learning for Media Streaming at the Wireless Edge. MobiHoc Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
2024	J	`jnl`	Structured Reinforcement Learning for Media Streaming at the Wireless Edge. CoRR Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
2024	J	`jnl`	SustainDC - Benchmarking for Sustainable Data Center Control. CoRR Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar
2024	A*	`conf`	SustainDC: Benchmarking for Sustainable Data Center Control. NeurIPS Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Cullen E. Bash, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Desik Rengarajan, Soumyendu Sarkar
2023	J	`jnl`	Federated Ensemble-Directed Offline Reinforcement Learning. CoRR Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
2023	J	`jnl`	N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. CoRR Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar
2022	J	`jnl`	Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. CoRR Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
2022	A*	`conf`	Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. NeurIPS Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
2022	J	`jnl`	Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. IEEE/ACM Trans. Netw. Archana Bura, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland
2022	J	`jnl`	QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge. IEEE/ACM Trans. Netw. Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Bainan Xia, Srinivas Shakkottai, Dileep Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
2022	A*	`conf`	Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. ICLR Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
2022	J	`jnl`	Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. CoRR Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
2021	A	`conf`	Reinforcement Learning for Mean Field Games with Strategic Complementarities. AISTATS Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
2020	J	`jnl`	Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games. CoRR Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
2020	J	`jnl`	Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. CoRR Archana Bura, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland-Tremblay
2019	B	`conf`	QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. MobiHoc Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
2019	J	`jnl`	QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. CoRR Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
2017	—	`conf`	Modeling demand flexibility of electric vehicles. SmartGridComm Chirag Ramesh Srivatsa, Desik Rengarajan, Vamsi Krishna Tumuluru