Faculty

Institution

Unit

Venue

Rayadurgam Srikant

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Rayadurgam Srikant is currently serving as an Electrical And Computer Engineering Professor at Uiuc.

Honors

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Experiences

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Education

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Rayadurgam Srikant

UIUC

Professor

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computer science communications systems telecommunication networks networked system design distributed systems applied mathematics wireless communications wireless networks network analysis network traffic control congestion control network optimization systems engineering mathematical optimization stochastic process congestion management scalability computer engineering computational optimization operations research control optimization network calculus queueing theory transmission machine learning research combinatorial optimization stochastic optimization cellular networks exploration v exploitation discrete algorithms online algorithms dynamic resource allocation fair resource allocation channel capacity estimation channel access method delay-tolerant networking stochastic networks cluster computing computational intelligence internet economics computational statistics network performance scheduling (computing) resource allocation convergence rate mobile computing wireless personal communication fading channels network games fluid queue probabilistic graph theory distributed coordination network routing algorithm wireless routing network routing admission control congestion controllers congestion control algorithms cross-layer optimization cloud load balancing multi-terminal information theory queue length multihop wireless networks linear function approximation cloud scheduling cloud resource management steady state neural networks back-pressure algorithm adaptive virtual queue sample complexity multi-hop wireless networks service provider deep neural networks throughput optimality maxweight algorithm stochastic control natural computing cloud computing cybernetics game theory computational game theory

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Convergence of Natural Policy Gradient for a Family of Infinite-State Queueing Mdps. Queueing Systems (2025)

Isaac GrosofSiva Theja MaguluriR. Srikant

maxweight policycomputer sciencecontrol optimizationmachine learningmarkov decision processstochastic processreinforcement learningoperations researchcomputational optimizationapplied mathematicsnatural policy gradientmathematical optimizationsequential decision making

Joint Optimal Transport and Embedding for Network Alignment. (2025)

Qi YuZhichen ZengYuchen YanLei YingR. SrikantHanghang Tong

network analysiscomputer sciencenetwork optimizationoptimal transportjoint optimal transportcomputational optimization

A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost Mdp. Mathematics of Operations Research (2024)

Mehrdad MoharramiYashaswini MurthyArghyadip RoyR. Srikant

smooth truncated estimationmachine learningdynamic programmingapplied mathematicsmathematical programmingmathematical optimizationpolicy gradientcomputer scienceapplied probabilityoperations researchcomputational optimizationstochastic optimizationpolicy gradient algorithmstochastic processreinforcement learningcontrol optimizationmarkov decision processsystems engineeringdynamic optimizationstochastic dynamics

Cascading Reinforcement Learning. arXiv (Cornell University) (2024)

Du, YihanSrikant, R.Chen, Wei

computer scienceexpected cumulative rewardcombinatorial optimizationexploration v exploitationmachine learningonline algorithmsdata sciencereinforcement learningrecommender systemsdecision sciencemathematical optimizationonline advertisingsequential decision making

Convergence for Natural Policy Gradient on Infinite-State Average-Reward Markov Decision Processes. arXiv (Cornell University) (2024)

Grosof, IsaacMaguluri, Siva ThejaSrikant, R.

computer sciencecontrol optimizationmachine learningmarkov decision processstochastic processreinforcement learningcomputational optimizationnatural policy gradientapplied mathematicsstochastic dynamicsmathematical optimizationconvergence ratesequential decision making

Convergence of Entropy-Regularized Natural Policy Gradient With Linear Function Approximation. SIAM Journal on Optimization (2024)

Semih CayciNiao HeR. Srikant

computer scienceentropystochastic optimizationapproximation theoryregularization (mathematics)machine learninglinear function approximationstochastic processreinforcement learningdeep reinforcement learningapplied mathematicsmathematicsmathematical optimization

Convergence of Monte Carlo Exploring Starts With Td-Learning. (2024)

Anna WinnickiR. Srikant

sequential monte carlostatistical inferencemachine learningmarkov chain monte carloreinforcement learningmonte carlo exploringapplied mathematicsmathematical optimizationcomputational statistics

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach. arXiv (Cornell University) (2024)

Etesami, S. RasoulSrikant, R.

stable matchingcomputer sciencestable matching gamegame theorycombinatorial optimizationmechanism designalgorithmic game theorystable matchingsnon-cooperative game theorymathematicssocial choice

Finite-Time Analysis of Natural Actor-Critic for Pomdps. SIAM Journal on Mathematics of Data Science (2024)

Semih CayciNiao HeR. Srikant

markov decision processcontrol optimizationfinite-time analysisreinforcement learningapplied mathematicssequential decision making

Performance of Npg in Countable State-Space Average-Cost Rl. arXiv (Cornell University) (2024)

Murthy, YashaswiniGrosof, IsaacMaguluri, Siva ThejaSrikant, R.

computer sciencecontrol optimizationmarkov decision processstate spacereinforcement learningreinforcement learning settingsoperations researchcomputational optimizationapplied mathematicsnatural policy gradientmathematical optimizationsequential decision making

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Rayadurgam Srikant

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Rayadurgam Srikant is currently serving as an Electrical And Computer Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Rayadurgam Srikant

UIUC

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Convergence of Natural Policy Gradient for a Family of Infinite-State Queueing Mdps. Queueing Systems (2025)

Isaac GrosofSiva Theja MaguluriR. Srikant

Joint Optimal Transport and Embedding for Network Alignment. (2025)

Qi YuZhichen ZengYuchen YanLei YingR. SrikantHanghang Tong

network analysiscomputer sciencenetwork optimizationoptimal transportjoint optimal transportcomputational optimization

A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost Mdp. Mathematics of Operations Research (2024)

Mehrdad MoharramiYashaswini MurthyArghyadip RoyR. Srikant

Cascading Reinforcement Learning. arXiv (Cornell University) (2024)

Du, YihanSrikant, R.Chen, Wei

Convergence for Natural Policy Gradient on Infinite-State Average-Reward Markov Decision Processes. arXiv (Cornell University) (2024)

Grosof, IsaacMaguluri, Siva ThejaSrikant, R.

Convergence of Entropy-Regularized Natural Policy Gradient With Linear Function Approximation. SIAM Journal on Optimization (2024)

Semih CayciNiao HeR. Srikant

Convergence of Monte Carlo Exploring Starts With Td-Learning. (2024)

Anna WinnickiR. Srikant

sequential monte carlostatistical inferencemachine learningmarkov chain monte carloreinforcement learningmonte carlo exploringapplied mathematicsmathematical optimizationcomputational statistics

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach. arXiv (Cornell University) (2024)

Etesami, S. RasoulSrikant, R.

stable matchingcomputer sciencestable matching gamegame theorycombinatorial optimizationmechanism designalgorithmic game theorystable matchingsnon-cooperative game theorymathematicssocial choice

Finite-Time Analysis of Natural Actor-Critic for Pomdps. SIAM Journal on Mathematics of Data Science (2024)

Semih CayciNiao HeR. Srikant

markov decision processcontrol optimizationfinite-time analysisreinforcement learningapplied mathematicssequential decision making

Performance of Npg in Countable State-Space Average-Cost Rl. arXiv (Cornell University) (2024)

Murthy, YashaswiniGrosof, IsaacMaguluri, Siva ThejaSrikant, R.

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