Publications

Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Dileep Kalathil, Jean-Francois Chamberland, Srinivas Shakkottai (2023). LLMZip: Lossless Text Compression using Large Language Models.

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Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai (2023). Federated Ensemble- Directed Offline Reinforcement Learning.

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Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-Francois Chamberland (2022). DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning.

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

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

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Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Bainan Xia, Srinivas Shakkottai, Dileep Kalathil, Ricky K. P. Mok, Amogh Dhamdhere (2021). QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge.

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Archana Bura, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai, Jean-Francois Chamberland (2021). Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms.

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Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil, Srinivas Shakkottai (2021). Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs.

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