Results 131 to 140 of about 6,497 (242)

Dynamic-layer transformer-based reinforcement learning for observation-constrained multi-agent roundup scenarios. [PDF]

Sci Rep
Li X, Xu N, Chi Q, Chen H.
europepmc   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

A Bumblebee-Inspired Spatial Memory Navigation Framework for Robotic Odor Source Localization. [PDF]

Biomimetics (Basel)
Xu T, Guo Y, Wu Z, Wu J.
europepmc   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source

Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]

Sensors (Basel)
Seck D, Yanes-Luis S, Perales-Esteve M, Marín ST, Gutiérrez-Reina D.   +4 more
europepmc   +1 more source

Active guidance in ultrasound bladder scanning using reinforcement learning. [PDF]

Sci Rep
Hsu HL, Zahiri M, Li GY, Mukaddim RA, Lee H, Wilson MG, Grube J, Schmidt S, Ghoshal G, Raju B.   +9 more
europepmc   +1 more source

Sub‐optimal Internet of Thing devices deployment using branch and bound method

IET Networks, EarlyView.
The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley   +1 more source

Bio-Inspired Energy-Efficient Routing for Wireless Sensor Networks Based on Honeybee Foraging Behavior and MDP-Driven Adaptive Scheduling. [PDF]

Biomimetics (Basel)
Chen F, Wu X, Qi W, Wang Z, Wang Z, Li P.   +5 more
europepmc   +1 more source

A Multi‐Agent Bidding Strategy in Day‐Ahead Joint Energy and Reserve Markets Considering Risk Preferences

IET Smart Energy Systems, EarlyView.
A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu, Teng Yan, Xiuming Bao, Dong Liu, Guodong Guo, Yingyun Sun   +5 more
wiley   +1 more source

Optimizing genomic sampling for demographic and epidemiological inference with Markov decision processes. [PDF]

Genetics
Rasmussen DA, Bursell MG, Burkhart F.
europepmc   +1 more source