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Tidal Energy for Sustainable Village Electricity Supply in the Indian Sundarbans Biosphere
Venugopal, Venki
(Principal Investigator)
Ingram, David
(Co-investigator)
School of Engineering
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/04/17
→
31/03/21
Funding
Non-EU other:
£105,475.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Function Approximation
Computer Science
100%
And-States
Computer Science
100%
Reinforcement Learning
Computer Science
100%
Massive MIMO
Computer Science
100%
Edge Caching
Computer Science
100%
Success Probability
Computer Science
100%
Q-Learning
Engineering
100%
Poisson Point Process
Computer Science
50%
Research output
Research output per year
2020
2020
2020
1
Article
Research output per year
Research output per year
Function Approximation Based Reinforcement Learning for Edge Caching in Massive MIMO Networks
Garg, N., Sellathurai, M., Bhatia, V. & Ratnarajah, T.,
28 Dec 2020
, (E-pub ahead of print)
In:
IEEE Transactions on Communications.
13 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
And-States
100%
Reinforcement Learning
100%
Function Approximation
100%
Massive MIMO
100%
Success Probability
100%