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Sayak Mukherjee — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sayak Mukherjee
18
papers ·
88
citations ·
13
h-index
Pacific Northwest National Laboratory · Government of the United States of America · Japan Racing Association
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations
2020 · 48 citations
Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning
2021 · 8 citations
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
2022 · 7 citations
Learning Stochastic Parametric Differentiable Predictive Control Policies
2022 · 6 citations
Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix
2020 · 3 citations
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
2022 · 3 citations
Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator
2020 · 1 citations
Safe Reinforcement Learning for Grid Voltage Control
2021 · 1 citations
Policy Gradient-Based EMT-in-the-Loop Learning to Mitigate Sub-Synchronous Control Interactions
2025
Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
2025
A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks
2021
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
2023
Top co-authors
Ramij R. Hossain
· 3
Wei Du
· 2
Yuan Liu
· 2
Arnab Bhattacharya
· 1
He Bai
· 1
Himanshu Sharma
· 1
Mahantesh Halappanavar
· 1
Marcelo Elizondo
· 1
Topics
Multi-Agent
Safe RL
Model-Based RL
Policy Gradient
cs.AI
Value-Based
eess.SY
cs.SY
cs.LG
cs.MA