Modeling demand flexibility of electric vehicles. - Chirag Ramesh Srivatsa; Desik Rengarajan; Vamsi Krishna Tumuluru (SmartGridComm, 2017)

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 (MobiHoc, 2019)

Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games. - Ki-Yeob Lee; Desik Rengarajan; Dileep M. Kalathil; Srinivas Shakkottai (CoRR, 2020)

Reinforcement Learning for Mean Field Games with Strategic Complementarities. - Ki-Yeob Lee; Desik Rengarajan; Dileep M. Kalathil; Srinivas Shakkottai (AISTATS, 2021)

Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. - Desik Rengarajan; Gargi Vaidya; Akshay Sarvesh; Dileep M. Kalathil; Srinivas Shakkottai (ICLR, 2022)

Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. - Desik Rengarajan; Sapana Chaudhary; Jaewon Kim; Dileep Kalathil; Srinivas Shakkottai (NeurIPS, 2022)

Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. - Desik Rengarajan; Sapana Chaudhary; Jaewon Kim; Dileep Kalathil; Srinivas Shakkottai (CoRR, 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)

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)

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. - Sajad Mousavi; Ricardo Luna Gutiérrez 001; Desik Rengarajan; Vineet Gundecha; Ashwin Ramesh Babu; Avisek Naug; Antonio Guillen; Soumyendu Sarkar (CoRR, 2023)

Structured Reinforcement Learning for Media Streaming at the Wireless Edge. - Archana Bura; Sarat Chandra Bobbili; Shreyas Rameshkumar; Desik Rengarajan; Dileep Kalathil; Srinivas Shakkottai (MobiHoc, 2024)

SustainDC: Benchmarking for Sustainable Data Center Control. - Avisek Naug; Antonio Guillen; Ricardo Luna Gutierrez 001; Vineet Gundecha; Cullen E. Bash; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Dejan Markovikj; Lekhapriya Dheeraj Kashyap; Desik Rengarajan; Soumyendu Sarkar (NeurIPS, 2024)

Federated Ensemble-Directed Offline Reinforcement Learning. - Desik Rengarajan; Nitin Ragothaman; Dileep Kalathil; Srinivas Shakkottai (NeurIPS, 2024)

SustainDC - Benchmarking for Sustainable Data Center Control. - Avisek Naug; Antonio Guillen; Ricardo Luna 001; Vineet Gundecha; Desik Rengarajan; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Dejan Markovikj; Lekhapriya Dheeraj Kashyap; Soumyendu Sarkar (CoRR, 2024)

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. - Soumyendu Sarkar; Ashwin Ramesh Babu; Sajad Mousavi; Vineet Gundecha; Sahand Ghorbanpour; Avisek Naug; Ricardo Luna Gutiérrez 001; Antonio Guillen; Desik Rengarajan (AAAI, 2025)

Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. - Soumyendu Sarkar; Avisek Naug; Antonio Guillen; Vineet Gundecha; Ricardo Luna Gutiérrez 001; Sahand Ghorbanpour; Sajad Mousavi; Ashwin Ramesh Babu; Desik Rengarajan; Cullen E. Bash (AAAI, 2025)