Siddharth Chandak
Scholar

Siddharth Chandak

Google Scholar ID: czi8jdYAAAAJ
Stanford University
Multi-Agent LearningReinforcement LearningGame TheoryStochastic Approximation
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Citations & Impact
All-time
Citations
98
 
H-index
5
 
i10-index
3
 
Publications
16
 
Co-authors
10
list available
Contact
No contact links provided.
Publications
10 items
Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
2026
Cited
0
High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise
2026
Cited
0
Regret and Sample Complexity of Online Q-Learning via Concentration of Stochastic Approximation with Time-Inhomogeneous Markov Chains
2026
Cited
0
Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
2025
Cited
0
$O(1/k)$ Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation
2025
Cited
0
Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise
2025
Cited
0
Non-Expansive Mappings in Two-Time-Scale Stochastic Approximation: Finite-Time Analysis
2025
Cited
0
Learning to Control Unknown Strongly Monotone Games
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
10 total
Vivek Borkar
Vivek Borkar
Indian Institute of Technology Bombay
Co-author 2
Co-author 2
Ilai Bistritz
Ilai Bistritz
Tel Aviv University
Shaan Ul haque
Shaan Ul haque
Georgia Institute of Technology
Petar Popovski
Petar Popovski
Professor, Connectivity, Aalborg University, Denmark
Federico Chiariotti
Federico Chiariotti
Assistant Professor, University of Padova
Deniz Gunduz
Deniz Gunduz
Professor of Information Processing, Imperial College London
Co-author 8
Co-author 8