Dynamic power management by reinforcement learning

Dynamic power management by reinforcement learning

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.

Bibliografiske detaljer
Main Authors:	Hossain, Safayet, Ibn-Ismail, Muhammad Adnan
Andre forfattere:	Khan, Dr. Md. Muhidul Islam
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2016
Fag:	Power management Reinforcement learning
Online adgang:	http://hdl.handle.net/10361/6434

Lignende værker

Reinforcement learning : an introduction /
af: Sutton, Richard S., et al.
Udgivet: (2018)

Self-learning game bot using deep reinforcement learning
af: Ananto, Azizul Haque
Udgivet: (2018)

Character animation using reinforcement learning and imitation learning algorithms
af: Tahmid, Tokey, et al.
Udgivet: (2021)

Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
af: Mahmud, Aqil, et al.
Udgivet: (2023)

Traﬃc congestion reduction in SUMO using reinforcement learning method
af: Mouly, Radia Rahman, et al.
Udgivet: (2021)

Reinforcement learning based autonomic virtual machine management in clouds
af: Habib, Arafat, et al.
Udgivet: (2018)

Reinforcement learning based electricity price forecasting in Blockchain based smart grid environment
af: Moti, Md Mahraj Murshalin Al, et al.
Udgivet: (2021)

Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
af: Issa, Razin Bin, et al.
Udgivet: (2020)

Implementation of real-time learning on homomorphically encrypted visual inputs
af: Bhuiyan, Emtiaz MD Tafsir, et al.
Udgivet: (2021)

Carbon reinforced epoxy systems /
Udgivet: (1974)

Enhancing object clarity in single channel night vision images using deep reinforcement learning
af: Hossain, Adil, et al.
Udgivet: (2021)

Approval VO#13 adjustment unit price for planting reinforcement work
af: Brac University
Udgivet: (2023)

Unit price approval-planting reinforcing works
af: WOHA Designs PTE LTD, et al.
Udgivet: (2023)

ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network
af: Dutta, Amit
Udgivet: (2024)

Regarding the effect of zone C earth excavation on reinforcement approach
af: BUCG-ABC Joint Venture (BUCG-ABC JV)
Udgivet: (2023)

Adjustment unit price for planting reinforcement work of BRAC University new campus project
af: BUCG-ABC Joint Venture (BUCG-ABC JV)
Udgivet: (2023)

Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
af: Saha, Prashanta Kumar, et al.
Udgivet: (2021)

Resource-aware task scheduling by an adversarial bandit solver method in wireless sensor networks
af: Khan, Muhidul Islam
Udgivet: (2016)

UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
af: Araf, Sadman, et al.
Udgivet: (2021)

Analyzing optimization landscape of recent policy optimization methods in deep RL
af: Khan, Mahir Asaf, et al.
Udgivet: (2023)

Design of concrete structures /
af: Nilson, Arthur H.
Udgivet: (2004)

Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
af: Islam, Md. Nazmul, et al.
Udgivet: (2024)

IoT based air components collection for machine learning reinforcement
af: Islam, Tanjima, et al.
Udgivet: (2024)

Reinforcement learning based autonomic virtual machine management in clouds
af: Habib, Md. Arafat
Udgivet: (2016)

2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

Adaptive Dynamic Programming and Reinforcement Learning, (ADPRL), IEEE Symposium on

Implementation of neural network in game engine to create smart bot and behavior analysis
af: Shovon, Zamshed Khan, et al.
Udgivet: (2018)

Malicious data classification in packet data network through hybrid meta deep learning
af: Tapu, Sakib Uddin, et al.
Udgivet: (2023)

An optimal route selection with reinforcement learning for the waste management in Dhaka city
af: Rahman, Musfiqur
Udgivet: (2018)

2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL)

Resource aware task scheduling in wireless sensor networks
af: Mahjabeen, Maksura
Udgivet: (2016)

Effectiveness of flagship talent management & employee learning at Robi
af: Matin, Efteeda M.A
Udgivet: (2023)

To create a positive learning environment teachers have to come out from their authoritative role: classroom management
af: Nourin, Nabila
Udgivet: (2018)

The power of open book management : releasing the true potential of people's mind, heart, and hands /
af: Schuster, John P.
Udgivet: (1996)

The learning organization : developing democracy at work /
af: Garratt, Bob
Udgivet: (2000)

Reinforcing ties : enhancing contributions from Bangladeshi diaspora members /
af: Barkat, Abul
Udgivet: (2014)

Preschool learning process and techniques at Sunnydale School
af: Urmi, Anupama Saha
Udgivet: (2018)

Essentials of learning : the new cognitive learning for students of education /
af: Travers, Robert Morris William, 1913-

Efficient network traffic management and intelligent decision-making through machine learning and DNS log analysis
af: Hossain, Syed Abed
Udgivet: (2024)