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
Analyzing deep reinforcement learning model decisions with Shapley additive explanations for counter drone operations
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DOI: 10.1007/s10489-024-05733-2
Abstract: As the use of drones continues to increase, their capabilities pose a threat to airspace safety when they are misused. Deploying AI models for intercepting these unwanted drones becomes crucial. However, these AI models, such… read more here.
Keywords: counter drone; deep reinforcement; model decisions; reinforcement learning ... 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
A framework for training larger networks for deep Reinforcement learning
Sign Up to like & getrecommendations! Published in 2024 at "Machine Learning"
DOI: 10.1007/s10994-024-06547-6
Abstract: The success of deep learning in computer vision and natural language processing communities can be attributed to the training of very deep neural networks with millions or billions of parameters, which can then be trained… read more here.
Keywords: training larger; training; larger networks; reinforcement learning ... See more keywords
Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance
Sign Up to like & getrecommendations! Published in 2024 at "Multibody System Dynamics"
DOI: 10.1007/s11044-024-10009-1
Abstract: Maintaining the capacity for sit-to-stand transitions is paramount for preserving functional independence and overall mobility in older adults and individuals with musculoskeletal conditions. Lower limb exoskeletons have the potential to play a significant role in… read more here.
Keywords: deep reinforcement; assistance; sit stand; reinforcement learning ... 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
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization
Sign Up to like & getrecommendations! Published in 2024 at "Memetic Computing"
DOI: 10.1007/s12293-024-00419-1
Abstract: Evolutionary Algorithms (EAs), including Evolutionary Strategies (ES) and Genetic Algorithms (GAs), have been widely accepted as competitive alternatives to Policy Gradient techniques for Deep Reinforcement Learning (DRL). However, they remain eclipsed by cutting-edge DRL algorithms… read more here.
Keywords: policy optimization; policy; reinforcement learning; deep reinforcement ... 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