An intelligent proactive defense against the client‐side DNS cache poisoning attack via self‐checking deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22934
Abstract: A new class of poisoning attacks has recently emerged targeting the client‐side Domain Name System (DNS) cache. It allows users to visit fake websites unconsciously, thereby revealing their information, such as passwords. However, the current… read more here.
Keywords: proactive defense; deep reinforcement; client side; defense ... See more keywords
Conformer‐RL: A deep reinforcement learning library for conformer generation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.26984
Abstract: Conformer‐RL is an open‐source Python package for applying deep reinforcement learning (RL) to the task of generating a diverse set of low‐energy conformations for a single molecule. The library features a simple interface to train… read more here.
Keywords: conformer generation; conformer; reinforcement learning; deep reinforcement ... See more keywords
Branes with brains: exploring string vacua with deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of High Energy Physics"
DOI: 10.1007/jhep06(2019)003
Abstract: A bstractWe propose deep reinforcement learning as a model-free method for exploring the landscape of string vacua. As a concrete application, we utilize an artificial intelligence agent known as an asynchronous advantage actor-critic to explore… read more here.
Keywords: string vacua; reinforcement learning; reinforcement; deep reinforcement ... See more keywords
Learning multi-agent communication with double attentional deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2020 at "Autonomous Agents and Multi-Agent Systems"
DOI: 10.1007/s10458-020-09455-w
Abstract: Communication is a critical factor for the big multi-agent world to stay organized and productive. Recently, Deep Reinforcement Learning (DRL) has been adopted to learn the communication among multiple intelligent agents. However, in terms of… read more here.
Keywords: communication; multi agent; reinforcement learning; double attentional ... See more keywords
Cost-aware job scheduling for cloud instances using deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2022 at "Cluster Computing"
DOI: 10.1007/s10586-021-03436-8
Abstract: As the services provided by cloud vendors are providing better performance, achieving auto-scaling, load-balancing, and optimized performance along with low infrastructure maintenance, more and more companies migrate their services to the cloud. Since the cloud… read more here.
Keywords: time; job scheduling; reinforcement learning; deep reinforcement ... See more keywords
Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-019-02098-7
Abstract: Purpose Flexible needle insertion is an important minimally invasive surgery approach for biopsy and radio-frequency ablation. This approach can minimize intraoperative trauma and improve postoperative recovery. We propose a new path planning framework using multi-goal… read more here.
Keywords: framework; insertion; flexible needle; reinforcement learning ... See more keywords
Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation
Sign Up to like & getrecommendations! Published in 2021 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117504
Abstract: Abstract In recent years, the importance of electric mobility has increased in response to climate change. The fast-growing deployment of electric vehicles (EVs) worldwide is expected to decrease transportation-related C O 2 emissions, facilitate the… read more here.
Keywords: control; reinforcement learning; learning control; deep reinforcement ... See more keywords
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102137
Abstract: Lung cancer is by far the leading cause of cancer death among both men and women. Radiation therapy is one of the main approaches to lung cancer treatment, and its planning is crucial for the… read more here.
Keywords: treatment; radiotherapy; reinforcement learning; therapy ... See more keywords
Propulsionless planar phasing of multiple satellites using deep reinforcement learning
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Space Research"
DOI: 10.1016/j.asr.2020.09.025
Abstract: Abstract This work creates a framework for solving highly non-linear satellite formation control problems by using model-free policy optimisation deep reinforcement learning (DRL) methods. This work considers, believed to be for the first time, DRL… read more here.
Keywords: planar phasing; phasing multiple; reinforcement learning; deep reinforcement ... See more keywords
Autonomous construction hoist system based on deep reinforcement learning in high-rise building construction
Sign Up to like & getrecommendations! Published in 2021 at "Automation in Construction"
DOI: 10.1016/j.autcon.2021.103737
Abstract: Abstract Construction hoists at most building construction sites are manually controlled by human operators using their intuitions; as a result, unnecessary trips are often made when multiple hoists are operating simultaneously and/or when complicated hoist… read more here.
Keywords: reinforcement learning; deep reinforcement; construction; high rise ... See more keywords
Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network
Sign Up to like & getrecommendations! Published in 2020 at "Building and Environment"
DOI: 10.1016/j.buildenv.2019.106535
Abstract: Abstract Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to minimize the energy consumption of equipment while maintaining the thermal comfort of occupants. Traditional rule-based control methods are not optimized for HVAC… read more here.
Keywords: control; reinforcement learning; deep reinforcement; control air ... See more keywords