Presentation

Context Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H -learning based Approach Nirmalya Roy, Abhishek Roy & Sajal K Das Presented by: Viraj Bhat virajbATcaip * rutgers * edu

Q-learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Nash Equilibrium ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Entropy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Smart Home ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Contributions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Single Inhabitant Location Tracking ,[object Object],[object Object],[object Object]

Multi-Inhabitant Location Prediction ,[object Object],[object Object],[object Object],[object Object],[object Object]

Predictive Nash- H learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Nash- H Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Learning parameters (0-1)

Convergence of NHL Algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Worst case Analysis ,[object Object],[object Object],[object Object]

Inhabitants’ Joint Typical Routes ,[object Object],[object Object],[object Object],[object Object],[object Object]

Smart Home: Resource and Comfort Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Experiments ,[object Object],[object Object],[object Object],[object Object],Raw data

Predictive Location Estimation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],H - learning Nash -H learning

Prediction Successes ,[object Object],[object Object],[object Object],[object Object],[object Object],H - learning Nash -H learning

Inhabitants joint typical routes ,[object Object],[object Object]

Storage Overhead ,[object Object],[object Object]

Energy Savings ,[object Object],[object Object]

Comments and Discussions ,[object Object],[object Object],[object Object],[object Object],[object Object]

References ,[object Object],[object Object],[object Object],[object Object]

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Editor's Notes