Vijay Gupta
8 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Reinforcement Learning
(4)
Optimization & Theory · Machine Learning
(4)
Robotics
(3)
Learning Types
(3)
Methods
(3)
Systems
(3)
Artificial Intelligence
(2)
Applications
(2)
Core AI
(2)
Core Methods
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
linear quadratic regulator
(3)
reinforcement learning
(2)
system identification
(2)
stochastic gradient descent
(1)
natural policy gradient
(1)
convergence analysis
(1)
policy optimization
(1)
markov decision process
(1)
nash equilibrium
(1)
optimal control
(1)
convergence rate
(1)
sample complexity
(1)
polyak-ruppert averaging
(1)
safe reinforcement learning
(1)
non-convex optimization
(1)
nonlinear dynamical system
(1)
gradient norm
(1)
personalized policy
(1)
exponential convergence
(1)
multi-agent reinforcement learning
(1)
Papers
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
L4DC 2026
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning
AAAI 2026
End-to-End Learning Framework for Solving Non-Markovian Optimal Control
ICML 2025
Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters
L4DC 2025
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
AISTATS 2024
Towards model-free LQR control over rate-limited channels
L4DC 2024
Revisit last-iterate convergence of mSGD under milder requirement on step size
NeurIPS 2022
Data-driven Identification of Approximate Passive Linear Models for Nonlinear Systems
L4DC 2020