
Markov Decision Processes with LongTerm Average Constraints
We consider the problem of constrained Markov Decision Process (CMDP) wh...
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EnergyEfficient and Federated MetaLearning via Projected Stochastic Gradient Ascent
In this paper, we propose an energyefficient federated metalearning fr...
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Joint Optimization of MultiObjective Reinforcement Learning with Policy Gradient Based Algorithm
Many engineering problems have multiple objectives, and the overall aim ...
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Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach
Quantum causality is an emerging field of study which has the potential ...
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AdaPool: A DiurnalAdaptive Fleet Management Framework using ModelFree Deep Reinforcement Learning and Change Point Detection
This paper introduces an adaptive modelfree deep reinforcement approach...
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DeepFreight: A Modelfree Deepreinforcementlearningbased Algorithm for Multitransfer Freight Delivery
With the freight delivery demands and shipping costs increasing rapidly,...
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Learning Monopoly Gameplay: A Hybrid ModelFree Deep Reinforcement Learning and Imitation Learning Approach
Learning how to adapt and make realtime informed decisions in dynamic a...
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Quantum Entropic Causal Inference
As quantum computing and networking nodes scaleup, important open quest...
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Communication Efficient Parallel Reinforcement Learning
We consider the problem where M agents interact with M identical and ind...
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MultiAgent MultiArmed Bandits with Limited Communication
We consider the problem where N agents collaboratively interact with an ...
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A Supervised Learning Approach for Robust Health Monitoring using Face Videos
Monitoring of cardiovascular activity is highly desired and can enable n...
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Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents
We consider a multiagent Markov strategic interaction over an infinite ...
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A multiagent evolutionary robotics framework to train spiking neural networks
A novel multiagent evolutionary robotics (ER) based framework, inspired...
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PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning
In this paper, we present a dynamic, demand aware, and pricingbased mat...
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Blind Decision Making: Reinforcement Learning with Delayed Observations
Reinforcement learning typically assumes that the state update from the ...
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DART: aDaptive Accept RejecT for nonlinear topK subset identification
We consider the bandit problem of selecting K out of N arms at each time...
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Cross Layer Optimization and Distributed Reinforcement Learning Approach for TileBased 360 Degree Wireless Video Streaming
Wirelessly streaming high quality 360 degree videos is still a challengi...
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Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains
Blockchain is a distributed ledger with wide applications. Due to the in...
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A Distributed ModelFree RideSharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning
Significant development of ridesharing services presents a plethora of ...
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An Embedded Index Code Construction Using Subpacketization
A variant of the index coding problem (ICP), the embedded index coding p...
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FlexPool: A Distributed ModelFree Deep Reinforcement Learning Algorithm for Joint Passengers Goods Transportation
The growth in online goods delivery is causing a dramatic surge in urban...
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MultiStage Hybrid Federated Learning over LargeScale Wireless Fog Networks
One of the popular methods for distributed machine learning (ML) is fede...
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ModelFree Algorithm and Regret Analysis for MDPs with LongTerm Constraints
In the optimization of dynamical systems, the variables typically have c...
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From Federated Learning to Fog Learning: Towards LargeScale Distributed Machine Learning in Heterogeneous Wireless Networks
Contemporary network architectures are pushing computing tasks from the ...
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Modeling and Optimization of Latency in Erasurecoded Storage Systems
As consumers are increasingly engaged in social networking and Ecommerc...
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Efficient Gaussian Process Bandits by Believing only Informative Actions
Bayesian optimization is a framework for global search via maximum a pos...
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ModelFree Algorithm and Regret Analysis for MDPs with Peak Constraints
In the optimization of dynamic systems, the variables typically have con...
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Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
A set of about 80 researchers, practitioners, and federal agency program...
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Optimal Server Selection for Straggler Mitigation
The performance of largescale distributed compute systems is adversely ...
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A Distributed ModelFree Algorithm for Multihop Ridesharing using Deep Reinforcement Learning
The growth of autonomous vehicles, ridesharing systems, and self driving...
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QGADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
In this paper, we propose a communicationefficient decentralized machin...
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Escaping Saddle Points for Zerothorder Nonconvex Optimization using Estimated Gradient Descent
Gradient descent and its variants are widely used in machine learning. H...
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Encoders and Decoders for Quantum Expander Codes Using Machine Learning
Quantum key distribution (QKD) allows two distant parties to share encry...
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A Reinforcement Learning Based Approach for Joint MultiAgent Decision Making
Reinforcement Learning (RL) is being increasingly applied to optimize co...
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Straggler Mitigation with Tiered Gradient Codes
Coding theoretic techniques have been proposed for synchronous Gradient ...
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GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
When the data is distributed across multiple servers, efficient data exc...
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Reinforcement Learning for Mean Field Game
Stochastic games provide a framework for interactions among multiagents...
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DeepPool: Distributed Modelfree Algorithm for Ridesharing using Deep Reinforcement Learning
The success of modern ridesharing platforms crucially depends on the pr...
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A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in LowLatency Communications
One of the 5G promises is to provide Ultra Reliable Low Latency Communic...
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Multitier Caching Analysis in CDNbased Overthetop Video Streaming Systems
Internet video traffic has been been rapidly increasing and is further e...
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Joint Information Freshness and Completion Time Optimization for Vehicular Networks
The demand for realtime cloud applications has seen an unprecedented gr...
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A Robust Algorithm for Tilebased 360degree Video Streaming with Uncertain FoV Estimation
We propose a robust scheme for streaming 360degree immersive videos to ...
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Optimized Portfolio Contracts for Bidding the Cloud
Amazon EC2 provides two most popular pricing schemesi) the costly on...
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Regret Bounds for Stochastic Combinatorial MultiArmed Bandits with Linear Space Complexity
Many realworld problems face the dilemma of choosing best K out of N op...
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GroupCast: PreferenceAware Cooperative Video Streaming with Scalable Video Coding
In this paper, we propose a preferenceaware cooperative video streaming...
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Covfefe: A Computer Vision Approach For Estimating Force Exertion
Cumulative exposure to repetitive and forceful activities may lead to mu...
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On the Optimal Broadcast Rate of the TwoSender Unicast Index Coding Problem with FullyParticipated Interactions
The problem of twosender unicast index coding consists of two senders a...
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A Low Complexity Detection Algorithm Based on Alternating Minimization
In this paper, we propose an algorithm based on the Alternating Minimiza...
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Optimal Linear Broadcast Rates of the TwoSender Unicast Index Coding Problem with FullyParticipated Interactions
The twosender unicast index coding problem consists of finding optimal ...
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QoEAware Resource Allocation for Small Cells
In this paper, we study the problem of Quality of Experience (QoE) aware...
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Vaneet Aggarwal
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Assistant Professor with the School of Industrial Engineering at Purdue University