Browsing by Subject "Reinforcement learning"
Now showing items 1-10 of 10
-
Dynamic power management by reinforcement learning
(BRAC University, 2016)Optimization in design and utilization of both hardware and software is needed in order to achieve more energy efficient systems. In this paper we presented a Reinforcement learning based DPM approaches for our LAN card ... -
Enhancing object clarity in single channel night vision images using deep reinforcement learning
(Brac University, 2021-01)There are a lot of novel approaches to image processing using Machine learning and classical image processing. But most of them take a huge dataset[like machine learning] or they are slow and inefficient[like plain image ... -
Exploring the applications of deep reinforcement learning and quantum variational circuit In quantum machine learning
(Brac University, 2021-09)In recent years, quantum computing has outperformed classical computing in many aspects, including the advancement of approaches in Reinforcement Learning prob- lems. Particularly, it has the power to utilize the quantum ... -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
(Brac University, 2023-01)This paper is intended to be a practical guide in terms of getting up and running with reinforcement learning. Ideally, it aims to bridge the gap between practi cal implementation and the theories available for RL. The ... -
Malicious data classification in packet data network through hybrid meta deep learning
(Brac University, 2023-01)Advancements in wireless network technology have provided a powerful tool to boost productivity and serve a strong communication which overcomes the limitations of wired networks. However, because of using wireless ... -
Reinforcement learning based autonomic virtual machine management in clouds
(© 2016 IEEE, 11/28/2016)Cloud computing is a rapidly emerging field, services and applications are more or less 24/7. Resource dimensioning in this field is a great issue. Research is already going on to imply reinforcement learning to automate ... -
Resource aware task scheduling in wireless sensor networks
(BRAC University, 2016-04)Wireless Sensor Networks (WSNs) consist of so many sensor nodes capable of sensing, processing and transmitting sensed information to a remote station. Among the application of wireless sensor networks target tracking is ... -
Self-learning game bot using deep reinforcement learning
(BRAC University, 2017-12)We present a deep learning model for playing games with high level input (image/raw pixel) using reinforcement learning. The games are action limited (like snakes, catcher, air-raider etc.). The model consists of convolution ... -
Traffic congestion reduction in SUMO using reinforcement learning method
(Brac University, 2021-02)The exemplary traffic controlling system is getting helpless because of urbanization and a consistently expanding populace. Living in a cutting-edge time of science and innovation, an advanced arrangement is a beggar ... -
UAV assisted cooperative caching on network edge using multi agent Actor critic reinforcement learning
(Brac University, 2020-12)In recent times, Multi-access edge computing (MEC) has been introduced to assist cloud servers by bringing the computation closer to the edge. This is a well-known replacement to deal with the strict latency faced by ...
