A simulation-based algorithm for optimal pricing policy under demand uncertainty. - Saswata Chakravarty; Sindhu Padakandla; Shalabh Bhatnagar (Int. Trans. Oper. Res., 2014)

Energy Sharing for Multiple Sensor Nodes With Finite Buffers. - Sindhu Padakandla; Prabuchandran K. J.; Shalabh Bhatnagar (IEEE Trans. Commun., 2015)

Shaping Proto-Value Functions Using Rewards. - Raj Kumar Maity; Chandrashekar Lakshminarayanan; Sindhu Padakandla; Shalabh Bhatnagar (ECAI, 2016)

Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach. - Sandeep Kumar; Sindhu Padakandla; Chandrashekar Lakshminarayanan; Priyank Parihar; K. Gopinath; Shalabh Bhatnagar (CoRR, 2016)

Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach. - Sandeep Kumar; Sindhu Padakandla; Chandrashekar Lakshminarayanan; Priyank Parihar; K. Gopinath; Shalabh Bhatnagar (CLOUD, 2017)

Reinforcement Learning in Non-Stationary Environments. - Sindhu Padakandla; Prabuchandran K. J.; Shalabh Bhatnagar (CoRR, 2019)

Reinforcement Learning Algorithms for Autonomous Adaptive Agents. - Sindhu Padakandla (AAMAS, 2020)

Learning-Based Resource Allocation in Industrial IoT Systems. - Sindhu Padakandla; Shilpa Rao 001; Shalabh Bhatnagar (PIMRC, 2020)

Reinforcement learning algorithm for non-stationary environments. - Sindhu Padakandla; Prabuchandran K. J.; Shalabh Bhatnagar (Appl. Intell., 2020)

Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge. - Abhik Singla; Sindhu Padakandla; Shalabh Bhatnagar (IEEE Trans. Intell. Transp. Syst., 2021)

Data Efficient Safe Reinforcement Learning. - Sindhu Padakandla; Prabuchandran K. J.; Sourav Ganguly; Shalabh Bhatnagar (SMC, 2022)

A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments. - Sindhu Padakandla (ACM Comput. Surv., 2022)

SafeQuant: LLM Safety Analysis via Quantized Gradient Inspection. - Sindhu Padakandla; Sadbhavana Babar; Rathod Darshan D; Manohar Kaul (NAACL (Long Papers), 2025)