Results 91 to 100 of about 137,924 (252)
Inverse Reinforcement Learning in Swarm Systems
, 2017 Inverse reinforcement learning (IRL) has become a useful tool for learning behavioral models from demonstration data. However, IRL remains mostly unexplored for multi-agent systems.
KhudaBukhsh, Wasiur R. +3 more
core
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
, 2016 We consider the problem of multiple agents sensing and acting in environments with the goal of maximising their shared utility. In these environments, agents must learn communication protocols in order to share information that is needed to solve the tasks.
Foerster, J +3 more
openaire +3 more sources
Advanced Materials Interfaces, EarlyView.SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen +6 more
wiley +1 more source
Applied SciencesTraffic congestion in large-scale road networks significantly impacts urban sustainability. Traditional traffic signal control methods lack adaptability to dynamic traffic conditions. Recently, deep reinforcement learning (DRL) has emerged as a promising
Wenzhe Jia, Mingyu Ji
doaj +1 more source
ViZDoom Competitions: Playing Doom from Pixels
, 2018 This paper presents the first two editions of Visual Doom AI Competition, held in 2016 and 2017. The challenge was to create bots that compete in a multi-player deathmatch in a first-person shooter (FPS) game, Doom.
Jaśkowski, Wojciech +2 more
core
Advanced Materials Technologies, EarlyView.This study describes the fabrication of arrays of luminal tissue constructs for 3D luminal tissue modeling. An oil or media‐filled reservoir between constructs serves as a liquid barrier or bridge to regulate communication between lumens within the array for modeling multi‐tissue interactions in vitro. Abstract Cell‐lined luminal structures are crucial
Mouhita Humayun +9 more
wiley +1 more source
Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications
Advanced Materials Technologies, EarlyView.This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley +1 more source
Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications
Advanced Materials Technologies, EarlyView.Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley +1 more source
Strangeness-driven exploration in multi-agent reinforcement learning
Neural Networks9 pages, 7 ...
Ju-Bong Kim, Ho-Bin Choi, Youn-Hee Han
openaire +3 more sources
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
Advanced Robotics Research, EarlyView.This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source