A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.097
Abstract: Abstract We explored the problem about function approximation error and complex mission adaptability in multi-agent deep reinforcement learning. This paper proposes a new multi-agent deep reinforcement learning algorithm framework named multi-agent time delayed deep deterministic… read more here.
Keywords: agent deep; reinforcement learning; deep reinforcement; multi agent ... See more keywords
Multi-Agent Deep Reinforcement Learning-Based Cooperative Spectrum Sensing With Upper Confidence Bound Exploration
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937108
Abstract: In this paper, a multi-agent deep reinforcement learning method was adopted to realize cooperative spectrum sensing in cognitive radio networks. Each secondary user learns an efficient sensing strategy from the sensing results of some of… read more here.
Keywords: agent deep; reinforcement learning; reinforcement; multi agent ... See more keywords
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2020.3027695
Abstract: An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the user equipments (UEs) on the ground. We aim to… read more here.
Keywords: agent deep; uav; multi agent; trajectory ... See more keywords
Cellular UAV-to-Device Communications: Trajectory Design and Mode Selection by Multi-Agent Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2020.2986289
Abstract: In the current unmanned aircraft systems (UASs) for sensing services, unmanned aerial vehicles (UAVs) transmit their sensory data to terrestrial mobile devices over the unlicensed spectrum. However, the interference from surrounding terminals is uncontrollable due… read more here.
Keywords: agent deep; multi agent; uav device; deep reinforcement ... See more keywords
Multi-Agent Deep Reinforcement Learning Based Transmission Latency Minimization for Delay-Sensitive Cognitive Satellite-UAV Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2022.3222460
Abstract: With the ubiquitous deployment of a massive number of Internet-of-Things (IoT) devices, the satellite-aerial networks are becoming a promising candidate to provide flexible and seamless service for IoT applications. Concerning about the spectrum scarcity issue,… read more here.
Keywords: delay sensitive; satellite; cognitive satellite; transmission latency ... See more keywords
UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.3014788
Abstract: Unmanned aerial vehicles (UAVs) can be employed as aerial base stations to support communication for the ground users (GUs). However, the aerial-to-ground (A2G) channel link is dominated by line-of-sight (LoS) due to the high flying… read more here.
Keywords: secure; agent deep; reinforcement learning; multi agent ... See more keywords
Hierarchical Multi-Agent Deep Reinforcement Learning for Energy-Efficient Hybrid Computation Offloading
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3202525
Abstract: Mobile edge computing (MEC) provides an economical way for the resource-constrained edge users to offload computational workload to MEC servers co-located with the access point (AP). In this article, we consider a hybrid computation offloading… read more here.
Keywords: hierarchical multi; agent; hybrid computation; agent deep ... See more keywords
A Friend-or-Foe framework for multi-agent reinforcement learning policy generation in mixing cooperative–competitive scenarios
Sign Up to like & getrecommendations! Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221077755
Abstract: Although multi-agent deep deterministic policy gradient is a classic deep reinforcement learning algorithm in multi-agent systems. It also has critical problems such as poor training stability and low policy robustness, which significantly limit the capability… read more here.
Keywords: policy; agent deep; friend foe; multi agent ... See more keywords
Modeling Interactions of Autonomous/Manual Vehicles and Pedestrians with a Multi-Agent Deep Deterministic Policy Gradient
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15076156
Abstract: This article focuses on the development of a stable pedestrian crash avoidance mitigation system for autonomous vehicles (AVs). Previous works have only used simple AV–pedestrian models, which do not reflect the actual interaction and risk… read more here.
Keywords: manual vehicles; vehicles pedestrians; deep deterministic; deterministic policy ... See more keywords