Exploring High Thermal Conductivity Amorphous Polymers Using Reinforcement Learning.
Sign Up to like & getrecommendations! Published in 2022 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.1c23610
Abstract: Developing amorphous polymers with desirable thermal conductivity has significant implications, as they are ubiquitous in applications where thermal transport is critical. Conventional Edisonian approaches are slow and without guarantee of success in material development. In… read more here.
Keywords: amorphous polymers; reinforcement learning; polymers using; conductivity ... See more keywords
Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2019 at "Chaos"
DOI: 10.1063/1.5120370
Abstract: To find the path that minimizes the time to navigate between two given points in a fluid flow is known as Zermelo's problem. Here, we investigate it by using a Reinforcement Learning (RL) approach for… read more here.
Keywords: reinforcement learning; navigation; point; zermelo problem ... See more keywords
Trim Loss Optimization in Paper Production Using Reinforcement Artificial Bee Colony
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008922
Abstract: In paper production, a jumbo reel is cut into multiple intermediate rolls, and each intermediate roll is then sheeted as finished goods. This problem is called a cutting stock problem and is proven to be… read more here.
Keywords: paper production; loss; reinforcement artificial; trim loss ... See more keywords
Toward a Superintelligent Action Recommender for Network Operation Centers Using Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3248652
Abstract: Today’s Network Operation Centres (NOC) consist of teams of network professionals responsible for monitoring and taking actions for their network’s health. Most of these NOC actions are relatively complex and executed manually; only the simplest… read more here.
Keywords: network; reinforcement learning; network operation; action ... See more keywords
Minimizing Energy Cost in PV Battery Storage Systems Using Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3267978
Abstract: This article addresses the development and tuning of an energy management for a photovoltaic (PV) battery storage system for the cost-optimized use of PV energy using reinforcement learning (RL). An innovative energy management concept based… read more here.
Keywords: energy; energy management; battery storage; using reinforcement ... See more keywords
Soil-Adaptive Excavation Using Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3189834
Abstract: In this letter, we present an excavation controller for a full-sized hydraulic excavator that can adapt online to different soil characteristics. Soil properties are hard to predict and can vary even within one scoop, which… read more here.
Keywords: reinforcement learning; excavation; learning soil; using reinforcement ... See more keywords
A Joint Radar and Communication Approach for 5G NR using Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.2200474
Abstract: Radar operation partly overlaps and thus interferes with 5G spectrum bands. Examples are vehicular radar, long-range air traffic control, terminal air traffic control, marine radar, airport surveillance, or also operations in the mmWave band. We… read more here.
Keywords: reinforcement learning; communication; joint radar; radar ... See more keywords
Autonomous Intersection Management by Using Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15090326
Abstract: Developing a safer and more effective intersection-control system is essential given the trends of rising populations and vehicle numbers. Additionally, as vehicle communication and self-driving technologies evolve, we may create a more intelligent control system… read more here.
Keywords: intersection; using reinforcement; reinforcement learning; control ... See more keywords