R. Srikant
Professor
Studies reinforcement learning and stochastic networks, including theory of learning algorithms and communication network control.
R. Srikant's lab at UIUC works on reinforcement learning and learning theory & optimization. 10 papers since 2023, 7 at top venues, mostly AISTATS and TAC. 4 PhD students. 64 alumni, most often to Google and Amazon. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 70%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 64
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 2
- 7 papers2023 · T1 5
T1 venuesOtherVenues: AISTATS, TAC, ICLR, L4DC, NeurIPS
Research focuspaper titles that use each topic's words
- Reinforcement learning4 papers
- Learning theory & optimization4 papers
- learning algorithms1 paper
- studies reinforcement0 papers
- stochastic0 papers
Paper list
From the lab homepage.
20243 papers
- ICLR (T1)Cascading Reinforcement Learning (opens in a new tab)
- TMLR (T1)Finite-time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm (opens in a new tab)
- SIAM Journal on Mathematics of Data ScienceFinite-time analysis of Natural Actor-Critic for POMDPs (opens in a new tab)
20237 papers
- TAC (T1)Finite Sample Analysis for Structured Discrete System Identification (opens in a new tab)
- AISTATS (T1)MaxWeight With Discounted UCB: A Provably Stable Scheduling Policy for Nonstationary Multi-Server Systems With Unknown Statistics (opens in a new tab)
- L4DCModified Policy Iteration for Exponential Cost Risk Sensitive MDPs (opens in a new tab)
- AISTATS (T1)On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation (opens in a new tab)
- NeurIPS (T1)Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms (opens in a new tab)
- ACM SIGMETRICSRobust multi-agent bandits over undirected graphs (opens in a new tab)
- TAC (T1)Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation (opens in a new tab)
Where alumni went64 listed, 39% to industry
Industry 18Academia 28
Most often to
- Amazon
- Armature Systems
Also to
- UIUC
- UT Austin
- Ben Gurion University
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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Your notes
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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