Composition of Partially-Observable Services
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DOI: 10.1109/access.2018.2885948
Abstract: In this paper, we tackle the problem of controlling the behavior of independent, partially observable services so that they collectively achieve a desired behavior (specification). The solution consists of synthesizing an orchestrator to coordinate the… read more here.
Keywords: partially observable; observable services; problem; composition partially ... See more keywords
Guided Soft Actor Critic: A Guided Deep Reinforcement Learning Approach for Partially Observable Markov Decision Processes
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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
A Partially Observable Markov-Decision-Process-Based Blackboard Architecture for Cognitive Agents in Partially Observable Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2020.3034428
Abstract: Partial observability, or the inability of an agent to fully observe the state of its environment, exists in many real-world problem domains. However, most cognitive architectures do not have a theoretical foundation that allows for… read more here.
Keywords: partially observable; blackboard architecture; markov decision; observable markov ... See more keywords
Data-Driven Distributed Output Consensus Control for Partially Observable Multiagent Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2788819
Abstract: This paper is concerned with a class of optimal output consensus control problems for discrete linear multiagent systems with the partially observable system state. Since the optimal control policy depends on the full system state… read more here.
Keywords: system; control; partially observable; output ... See more keywords
Multi-Agent Reinforcement Learning for Energy Harvesting Two-Hop Communications With a Partially Observable System State
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Green Communications and Networking"
DOI: 10.1109/tgcn.2020.3026453
Abstract: We consider an energy harvesting (EH) transmitter communicating with a receiver through an EH relay. The harvested energy is used for data transmission, including the circuit energy consumption. As in practical scenarios, the system’s state,… read more here.
Keywords: partially observable; system state; energy harvesting; energy ... See more keywords
Partially Observable Markov Decision Processes in Robotics: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2022.3200138
Abstract: Noisy sensing, imperfect control, and environment changes are defining characteristics of many real-world robot tasks. The partially observable Markov decision process (POMDP) provides a principled mathematical framework for modeling and solving robot decision and control… read more here.
Keywords: partially observable; robotics; observable markov; survey ... See more keywords
Underwater chemical plume tracing based on partially observable Markov decision process
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/1729881419831874
Abstract: Chemical plume tracing based on autonomous underwater vehicle uses chemical as a guidance to navigate and search in the unknown environments. To solve the key issue of tracing and locating the source, this article proposes… read more here.
Keywords: observable markov; partially observable; markov decision; chemical plume ... See more keywords
Memory-Limited Partially Observable Stochastic Control and Its Mean-Field Control Approach
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DOI: 10.3390/e24111599
Abstract: Control problems with incomplete information and memory limitation appear in many practical situations. Although partially observable stochastic control (POSC) is a conventional theoretical framework that considers the optimal control problem with incomplete information, it cannot… read more here.
Keywords: partially observable; control; memory limitation; memory ... See more keywords