Multi-agent reinforcement learning based on local communication
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2597-x
Abstract: Aiming at the locality and uncertainty of observations in large-scale multi-agent application scenarios, the model of Decentralized Partially Observable Markov Decision Processes (DEC-POMDP) is considered, and a novel multi-agent reinforcement learning algorithm based on local… read more here.
Keywords: agent; reinforcement learning; multi agent; local communication ... See more keywords
An efficient routing access method based on multi-agent reinforcement learning in UWSNs
Sign Up to like & getrecommendations! Published in 2022 at "Wireless Networks"
DOI: 10.1007/s11276-021-02838-1
Abstract: A large proportion of underwater data is collected in deep sea. Compared with the direct bottom-to-surface acoustic links, underwater sensor networks (UWSNs) with hierarchical network model topology are more efficient at transmitting huge amounts of… read more here.
Keywords: multi agent; agent reinforcement; reinforcement learning; method ... See more keywords
MRL-SCSO: Multi-agent Reinforcement Learning-Based Self-Configuration and Self-Optimization Protocol for Unattended Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-016-3729-3
Abstract: Resource-constrained nodes in unattended wireless sensor network (UWSN) operate in a hostile environment with less human intervention. Achieving the optimal quality of service (QoS) in terms of packet delivery ratio, delay, energy, and throughput is… read more here.
Keywords: multi agent; topology; unattended wireless; agent reinforcement ... See more keywords
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Sign Up to like & getrecommendations! Published in 2019 at "Nature"
DOI: 10.1038/s41586-019-1724-z
Abstract: Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal, the domain of StarCraft has emerged as an important challenge for artificial… read more here.
Keywords: reinforcement learning; multi agent; agent reinforcement; grandmaster level ... See more keywords
A Novel and Efficient Influence-Seeking Exploration in Deep Multi-Agent Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3171053
Abstract: Although recent years witnessed notable success for a cooperative setting in multi-agent reinforcement learning (MARL), efficient explorations are still challenging primarily due to the complex dynamics of inter-agent interactions constituting the high dimension of action… read more here.
Keywords: agent reinforcement; influence; action; exploration ... See more keywords
SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3068740
Abstract: In future wireless systems, latency of information needs to be minimized to satisfy the requirements of many mission-critical applications. Meanwhile, not all terminals carry equally-urgent packets given their distinct situations, e.g., status freshness. Leveraging this… read more here.
Keywords: reinforcement learning; multi agent; based transmissions; agent reinforcement ... See more keywords
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3208437
Abstract: To track the target in a video, current visual trackers usually adopt greedy search for target object localization in each frame, that is, the candidate region with the maximum response score will be selected as… read more here.
Keywords: beam search; agent reinforcement; greedy search; search ... See more keywords
Option-Based Multi-Agent Reinforcement Learning for Painting With Multiple Large-Sized Robots
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145375
Abstract: To ensure an efficient and conflict-free task allocation, this paper presents an option-based multi-agent reinforcement learning (OMARL) method for a cooperative multi-station multi-robot system in aircraft painting application. The problem can be described as a… read more here.
Keywords: option based; reinforcement learning; option; agent reinforcement ... See more keywords
A Multi-Agent Reinforcement Learning Method With Route Recorders for Vehicle Routing in Supply Chain Management
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3150151
Abstract: In the modern supply chain system, large-scale transportation tasks require the collaborative work of multiple vehicles to be completed on time. Over the past few decades, multi-vehicle route planning was mainly implemented by heuristic algorithms.… read more here.
Keywords: time; supply chain; agent reinforcement; route ... See more keywords
Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2021.3129504
Abstract: Past few years have witnessed the widespread adoption of unmanned aerial vehicles (UAVs) in target tracking for regional monitor and strike. Most existing target tracking approaches rely on the target motion frames obtained by the… read more here.
Keywords: reinforcement learning; agent reinforcement; target tracking; target ... See more keywords
Emergence of linguistic conventions in multi-agent reinforcement learning
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0208095
Abstract: Recently, emergence of signaling conventions, among which language is a prime example, draws a considerable interdisciplinary interest ranging from game theory, to robotics to evolutionary linguistics. Such a wide spectrum of research is based on… read more here.
Keywords: emergence linguistic; reinforcement learning; multi agent; reinforcement ... See more keywords