S. R. Eshwar

According to our database, S. R. Eshwar authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric.

Pavan Sollu, Aniruddha Mukherjee, Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan

CoRR, April, 2026

2025

Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations.

S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha, Krishna Agarwal, Gugan Thoppe, Aditya Gopalan, Gal Dalal

CoRR, December, 2025

Reliable Critics: Monotonic Improvement and Convergence Guarantees for Reinforcement Learning.

Eshwar S. R, Gugan Thoppe, Aditya Gopalan, Gal Dalal

CoRR, June, 2025

Teaching Precommitted Agents: Model-Free Policy Evaluation and Control in Quasi-Hyperbolic Discounted MDPs.

S. R. Eshwar

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling.

S. R. Eshwar, Lucas Lopes Felipe, Alexandre Reiffers-Masson, Daniel Sadoc Menasché, Gugan Thoppe

Proceedings of the IFIP Networking Conference, 2024

Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting.

Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan

Proceedings of the 31st IEEE International Conference on High Performance Computing, Data and Analytics, HiPC 2024, 2024

Reinforcement Learning with Quasi-Hyperbolic Discounting.

S. R. Eshwar, Mayank Motwani, Nibedita Roy, Gugan Thoppe

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking.

Eshwar S. R, Shishir Kolathaya, Gugan Thoppe

Proceedings of the Performance Evaluation Methodologies and Tools, 2023