Actor-Critic-Based Optimal Adaptive Control Design for Morphing Aircraft
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1943
Abstract: Abstract An online actor-critic-based control design strategy is proposed for a variable span and sweep morphing wing aircraft considering the morphing parameters as control effectors, which makes the system non-affine in control. By adopting the… read more here.
Keywords: system; control; critic based; actor critic ... See more keywords
Four actor-critic structures and algorithms for nonlinear multi-input multi-output system
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.072
Abstract: Abstract The action-dependent heuristic approximate dynamic (ADHDP) for nonlinear multi-input multi-output (MIMO) system needs different forms to adapt to variable practical objects. Due to some inappropriate network structure or training algorithm, unsuccessful designs or undesirable… read more here.
Keywords: four actor; multi; actor critic; nonlinear multi ... See more keywords
Discrete soft actor-critic with auto-encoder on vascular robotic system
Sign Up to like & getrecommendations! Published in 2022 at "Robotica"
DOI: 10.1017/s0263574722001527
Abstract: Abstract Instrument delivery is critical part in vascular intervention surgery. Due to the soft-body structure of instruments, the relationship between manipulation commands and instrument motion is non-linear, making instrument delivery challenging and time-consuming. Reinforcement learning… read more here.
Keywords: critic auto; discrete soft; auto encoder; vascular robotic ... See more keywords
A Sample‐Efficient Actor‐Critic Algorithm for Recommendation Diversification
Sign Up to like & getrecommendations! Published in 2020 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2019.10.004
Abstract: Diversifying recommendation results gains benefits from satisfying user's existing interests as well as exploring novel information needs. Recently proposed Monte-Carlo based reinforcement learning method suffers from sample inefficiency, large variance, and even failing to perform… read more here.
Keywords: algorithm recommendation; recommendation; actor; actor critic ... See more keywords
Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3131772
Abstract: Most real-world problems are essentially partially observable, and the environmental model is unknown. Therefore, there is a significant need for reinforcement learning approaches to solve them, where the agent perceives the state of the environment… read more here.
Keywords: reinforcement learning; partially observable; actor critic; approach ... See more keywords
Optimization of Apparel Supply Chain Using Deep Reinforcement Learning
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DOI: 10.1109/access.2022.3205720
Abstract: An effective supply chain management system is indispensable for an enterprise with a supply chain network in several aspects. Especially, organized control over the production and transportation of its products is a key success factor… read more here.
Keywords: supply; policy; optimization; actor critic ... See more keywords
Distillation and Ordinary Federated Learning Actor-Critic Algorithms in Heterogeneous UAV-Aided Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273123
Abstract: In recent years, there has been growing enthusiasm for employing Unmanned Aerial Vehicles (UAVs) as an innovative technology with significant potential for the next generation of wireless networks. Hence, the Quality of Service (QoS) of… read more here.
Keywords: distillation; federated learning; actor critic; heterogeneous uav ... See more keywords
CACTO: Continuous Actor-Critic With Trajectory Optimization—Towards Global Optimality
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3266985
Abstract: This letter presents a novel algorithm for the continuous control of dynamical systems that combines Trajectory Optimization (TO) and Reinforcement Learning (RL) in a single framework. The motivations behind this algorithm are the two main… read more here.
Keywords: cacto continuous; trajectory optimization; policy; actor critic ... See more keywords
Radio Resource Management for C-V2X Using Graph Matching and Actor–Critic Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3213176
Abstract: We propose a hybrid centralized-distributed radio resource management (RRM) scheme for cellular vehicle-to-everything (C-V2X), which is to mitigate the interference caused by radio resource sharing between vehicle-to-infrastructure (V2I) links and vehicle-to-vehicle (V2V) links. Specifically, it… read more here.
Keywords: resource management; critic learning; resource; graph matching ... See more keywords
Proactive Content Caching Based on Actor–Critic Reinforcement Learning for Mobile Edge Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3130995
Abstract: Mobile edge caching/computing (MEC) has emerged as a promising approach for addressing the drastic increasing mobile data traffic by bringing high caching and computing capabilities to the edge of networks. Under MEC architecture, content providers… read more here.
Keywords: mobile edge; edge networks; critic reinforcement; caching ... See more keywords
A Deep Reinforcement Learning Algorithm Suitable for Autonomous Vehicles: Double Bootstrapped Soft-Actor-Critic-Discrete
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3092715
Abstract: With the rapid advancement of modern society, autonomous systems have been broadly applied in people’s daily lives. Under the guidance of this trend, autonomous vehicles have gradually become popular. However, due to some adverse factors(such… read more here.
Keywords: actor critic; critic discrete; soft actor; reinforcement learning ... See more keywords