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.

Xehetasun bibliografikoak
Egile Nagusiak:	Hossain, Safayet, Ibn-Ismail, Muhammad Adnan
Beste egile batzuk:	Khan, Dr. Md. Muhidul Islam
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2016
Gaiak:	Power management Reinforcement learning
Sarrera elektronikoa:	http://hdl.handle.net/10361/6434

Antzeko izenburuak

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

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

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

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

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

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

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

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

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

Carbon reinforced epoxy systems /
Argitaratua: (1974)

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

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

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

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

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

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

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

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

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

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

Design of concrete structures /
nork: Nilson, Arthur H.
Argitaratua: (2004)

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

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

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

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

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

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

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

Resource aware task scheduling in wireless sensor networks
nork: Mahjabeen, Maksura
Argitaratua: (2016)

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

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

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

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

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

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

The learning organization : developing democracy at work /
nork: Garratt, Bob
Argitaratua: (2000)

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

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

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

Learning theories in childhood /
nork: Gray, Colette, et al.
Argitaratua: (2015)