Faculty

Institution

Unit

Venue

Rayadurgam Srikant

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Rayadurgam Srikant is currently serving as an Electrical And Computer Engineering Professor at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Rayadurgam Srikant

University of Illinois Urbana-Champaign

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 computational game theory game theory stochastic control cloud computing natural computing cybernetics

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

markov decision processmathematical optimizationapplied mathematicscontrol optimizationreinforcement learningcomputer sciencemachine learningcomputational optimizationsequential decision makingnatural policy gradientoperations researchstochastic processmaxweight policy

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

Qi YuZhichen ZengYuchen YanLei YingR. SrikantHanghang Tong

joint optimal transportnetwork analysisnetwork optimizationoptimal transportcomputer sciencecomputational optimization

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

Mehrdad MoharramiYashaswini MurthyArghyadip RoyR. Srikant

computer sciencemathematical programmingstochastic processstochastic dynamicsdynamic programmingmarkov decision processreinforcement learningsmooth truncated estimationpolicy gradient algorithmstochastic optimizationpolicy gradientsystems engineeringapplied probabilitymathematical optimizationdynamic optimizationapplied mathematicscontrol optimizationmachine learningcomputational optimizationoperations research

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

Du, YihanSrikant, R.Chen, Wei

mathematical optimizationexpected cumulative rewardexploration v exploitationonline advertisingcombinatorial optimizationreinforcement learningcomputer sciencemachine learningrecommender systemsdata sciencesequential decision makingdecision scienceonline algorithms

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

Grosof, IsaacMaguluri, Siva ThejaSrikant, R.

markov decision processmathematical optimizationconvergence rateapplied mathematicscontrol optimizationreinforcement learningcomputer sciencemachine learningcomputational optimizationsequential decision makingnatural policy gradientstochastic processstochastic dynamics

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

Semih CayciNiao HeR. Srikant

approximation theorydeep reinforcement learningmathematical optimizationregularization (mathematics)entropyapplied mathematicslinear function approximationreinforcement learningcomputer sciencemachine learningstochastic processmathematicsstochastic optimization

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

Anna WinnickiR. Srikant

mathematical optimizationmonte carlo exploringapplied mathematicssequential monte carloreinforcement learningcomputational statisticsmachine learningstatistical inferencemarkov chain monte carlo

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

Etesami, S. RasoulSrikant, R.

game theoryalgorithmic game theorycombinatorial optimizationsocial choicecomputer sciencestable matchingsstable matching gamestable matchingmathematicsnon-cooperative game theorymechanism design

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

Semih CayciNiao HeR. Srikant

markov decision processapplied mathematicscontrol optimizationreinforcement learningsequential decision makingfinite-time analysis

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

Murthy, YashaswiniGrosof, IsaacMaguluri, Siva ThejaSrikant, R.

markov decision processmathematical optimizationapplied mathematicscontrol optimizationreinforcement learningcomputer sciencecomputational optimizationsequential decision makingnatural policy gradientoperations researchstate spacereinforcement learning settings

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Rayadurgam Srikant

Professor

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Electrical and Computer Engineering

Rayadurgam Srikant is currently serving as an Electrical And Computer Engineering Professor at University of Illinois Urbana-Champaign.

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

University of Illinois Urbana-Champaign

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

joint optimal transportnetwork analysisnetwork optimizationoptimal transportcomputer sciencecomputational 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

mathematical optimizationmonte carlo exploringapplied mathematicssequential monte carloreinforcement learningcomputational statisticsmachine learningstatistical inferencemarkov chain monte carlo

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

Etesami, S. RasoulSrikant, R.

game theoryalgorithmic game theorycombinatorial optimizationsocial choicecomputer sciencestable matchingsstable matching gamestable matchingmathematicsnon-cooperative game theorymechanism design

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

Semih CayciNiao HeR. Srikant

markov decision processapplied mathematicscontrol optimizationreinforcement learningsequential decision makingfinite-time analysis

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

Murthy, YashaswiniGrosof, IsaacMaguluri, Siva ThejaSrikant, R.

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