Step-adjusted tree-based reinforcement learning for evaluating nested dynamic treatment regimes using test-and-treat observational data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9177
Abstract: Dynamic treatment regimes (DTRs) include a sequence of treatment decision rules, in which treatment is adapted over time in response to the changes in an individual's disease progression and health care history. In medical practice,… read more here.
Keywords: decision; based reinforcement; treatment; tree based ... See more keywords
Evaluation of factors affecting dance training effects based on reinforcement learning
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DOI: 10.1007/s00521-021-06032-4
Abstract: The traditional dance training process lacks a certain degree of scientificity due to the lack of precise motion capture and analysis system, which directly affects the final training effect. In view of the robust limitations… read more here.
Keywords: based reinforcement; reinforcement; dance training; reinforcement learning ... See more keywords
Controller Optimization for Multirate Systems Based on Reinforcement Learning
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DOI: 10.1007/s11633-020-1229-0
Abstract: The goal of this paper is to design a model-free optimal controller for the multirate system based on reinforcement learning. Sampled-data control systems are widely used in the industrial production process and multirate sampling has… read more here.
Keywords: based reinforcement; system; multirate; reinforcement learning ... See more keywords
Multichannel spectrum access based on reinforcement learning in cognitive internet of things
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DOI: 10.1016/j.adhoc.2020.102200
Abstract: Abstract With the development of Internet of Things(IoT), the demands for communication spectrum have increased rapidly, resulting in the shortage of limited spectrum resources. Cognitive IoT (CIoT) based on cognitive radio (CR) can improve the… read more here.
Keywords: based reinforcement; multichannel spectrum; reinforcement learning; internet things ... See more keywords
A distributional code for value in dopamine-based reinforcement learning
Sign Up to like & getrecommendations! Published in 2020 at "Nature"
DOI: 10.1038/s41586-019-1924-6
Abstract: Since its introduction, the reward prediction error theory of dopamine has explained a wealth of empirical phenomena, providing a unifying framework for understanding the representation of reward and value in the brain 1 – 3… read more here.
Keywords: dopamine based; based reinforcement; value; reinforcement learning ... See more keywords
Safe control of nonlinear systems in LPV framework using model-based reinforcement learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Control"
DOI: 10.1080/00207179.2022.2029945
Abstract: This paper presents a safe model-based reinforcement learning (MBRL) approach to control nonlinear systems described by linear parameter-varying (LPV) models. A variational Bayesian inference Neural Network (BNN) approach is first employed to learn a state-space… read more here.
Keywords: control nonlinear; reinforcement learning; control; based reinforcement ... See more keywords
Optimize taxi driving strategies based on reinforcement learning
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2018.1458984
Abstract: ABSTRACT The efficiency of taxi services in big cities influences not only the convenience of peoples’ travel but also urban traffic and profits for taxi drivers. To balance the demands and supplies of taxicabs, spatio-temporal… read more here.
Keywords: based reinforcement; taxi; driving strategies; reinforcement learning ... See more keywords
Flow-Based Reinforcement Learning
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DOI: 10.1109/access.2022.3209260
Abstract: This paper presents a novel Flow-based reinforcement learning strategy to model agent systems that can adapt to complex and dynamic problem environments by incrementally mastering their skills. It is inspired by the psychological notion of… read more here.
Keywords: flow based; reinforcement learning; based reinforcement; task ... See more keywords
Modern Value Based Reinforcement Learning: A Chronological Review
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DOI: 10.1109/access.2022.3228647
Abstract: Investigation of value based Reinforcement Learning algorithms exhibited a resurgence into mainstream research in 2015 following demonstration of super-human performance when applied to Atari 2600 games. Since then, significant media attention and hype have accompanied… read more here.
Keywords: modern value; based reinforcement; reinforcement learning; value based ... See more keywords
Performance Optimization for Semantic Communications: An Attention-Based Reinforcement Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3191112
Abstract: In this paper, a semantic communication framework is proposed for textual data transmission. In the studied model, a base station (BS) extracts the semantic information from textual data, and transmits it to each user. The… read more here.
Keywords: information; semantic information; reinforcement learning; based reinforcement ... See more keywords
Novel Adaptive Transmission Scheme for Effective URLLC Support in 5G NR: A Model-Based Reinforcement Learning Solution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3218488
Abstract: Future industrial Internet of Things (IIoT) applications demand trustworthy ultra-reliable and low-latency communications (URLLC) service. In this letter, we jointly design available reliability and latency mechanisms in 5G NR to maximize the probability of successful… read more here.
Keywords: reinforcement learning; based reinforcement; transmission; latency ... See more keywords