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R. Srikant — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
R. Srikant
19
papers ·
36
citations ·
80
h-index
University of Illinois Urbana-Champaign
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning
2019 · 19 citations
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
2020 · 4 citations
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
2021 · 3 citations
Reinforcement Learning with Unbiased Policy Evaluation and Linear Function Approximation
2022 · 2 citations
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation
2023 · 2 citations
Almost Boltzmann Exploration
2019 · 1 citations
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure
2021 · 1 citations
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
2023 · 1 citations
On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
2023 · 1 citations
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games
2023 · 1 citations
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
2024 · 1 citations
Convergence of Distributionally Robust Q-Learning with Linear Function Approximation
2025
Reinforcement Learning with Segment Feedback
2025
Convergence of Natural Policy Gradient for a Family of Infinite-State Queueing MDPs
2024
The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation
2021
Top co-authors
Anna Winnicki
· 7
Yashaswini Murthy
· 5
Harsh Gupta
· 3
Joseph Lubars
· 3
Shie Mannor
· 3
Yihan Du
· 3
Gal Dalal
· 2
Isaac Grosof
· 2
Mehrdad Moharrami
· 2
Michael Livesay
· 2
Niao He
· 2
Semih Cayci
· 2
Topics
Policy Gradient
Value-Based
Model-Based RL
Safe RL
Exploration
Offline RL
Meta-RL
Game AI
Multi-Agent
RLHF & Alignment