Published:
Journal Papers
Sindhu Padakandla. "A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments". ACM Computing Surveys, 54, 6, Article 127 (July 2021), 25 pages. DOI:https://doi.org/10.1145/3459991. See this for the preprint version.
Sindhu Padakandla, Prabuchandran K. J and Shalabh Bhatnagar. "Reinforcement Learning Algorithm for Non Stationary Environments". Published in Springer Applied Intelligence Volume 50, Pages 3590-3606 , 2020. See arXiv for pre-published version. DOI: https://doi.org/10.1007/s10489-020-01758-5
Abhik Singla, Sindhu Padakandla and Shalabh Bhatnagar. “Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge”. Published in IEEE Transactions on Intelligent Transportation Systems (T-ITS) . See arXiv for pre-published version.
Sindhu Padakandla, Prabuchandran K.J. and Shalabh Bhatnagar. “Energy Sharing for Multiple Sensor Nodes with Finite Buffers”, IEEE Transactions on Communications, Vol. 63, Issue 5, May 2015. See arXiv for pre-published version.
Saswata Chakravarty, Sindhu Padakandla and Shalabh Bhatnagar. “A simulation-based algorithm for optimal pricing policy under demand uncertainty”, Wiley International Transactions in Operational Research, Volume 21, Issue 5, 737-760, 2014. WILEY
Conference Papers
Sindhu Padakandla, Prabuchandran K.J., Sourav Ganguly, Shalabh Bhatnagar, "Data Efficient Safe Reinforcement Learning", to be presented at 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Conference, Oct 9-12, 2022, Prague, Czech Republic.
Sindhu Padakandla, Shilpa Rao and Shalabh Bhatnagar, "Learning-Based Resource Allocation in Industrial IoT Systems," 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, London, United Kingdom, 2020, pp. 1-7, DOI: 10.1109/PIMRC48278.2020.9217170. Please find the pre-proceedings version here.
Sandeep Kumar, Sindhu Padakandla, Chandrashekar L., K. Gopinath and Shalabh Bhatnagar. “Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach”, Proceedings of the 10th IEEE International Conference on Cloud Computing, CLOUD 2017.
R.K.Maity, Chandrashekar L., Sindhu Padakandla, and Shalabh Bhatnagar. “Shaping Proto-Value Functions using Rewards”, Proceedings of European Conference on Artificial Intelligence (ECAI), The Hague, Netherlands, Aug.29-Sep.02, 2016.