Double Sarsa and Double Expected Sarsa with Shallow and Deep Learning

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Journal of Data Analysis and Information Processing

ISSN Print: 2327-7211
ISSN Online: 2327-7203
www.scirp.org/journal/jdaip
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"Double Sarsa and Double Expected Sarsa with Shallow and Deep Learning"
written by Michael Ganger, Ethan Duryea, Wei Hu,
published by Journal of Data Analysis and Information Processing, Vol.4 No.4, 2016

has been cited by the following article(s):

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[24]	Deep Reinforcement Learning with Adaptive Update Target Combination
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[25]	Deep Reinforcement Learning with Applications in Transportation
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[28]	Ensemble Network Architecture for Deep Reinforcement Learning
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[29]	Deep Reinforcement Learning with Sarsa and Q-Learning: A Hybrid Approach
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[30]	基于重抽样优选缓存经验回放机制的深度强化学习方法
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[31]	User Feedback-Based Reinforcement Learning for Vehicle Comfort Control
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[32]	Double Sarsa Based Machine Learning to Improve Quality of Video Streaming over HTTP through Wireless Networks
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[1]	A Multi - Task Control Approach for Active-Assisting Rehabilitation 2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2024 DOI:10.1109/IC_ASET61847.2024.10596209

[2]	RLAuth: A Risk-Based Authentication System Using Reinforcement Learning IEEE Access, 2023 DOI:10.1109/ACCESS.2023.3286376

[3]	Data-Driven Model Predictive Control Using Deep Double Expected Sarsa 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023 DOI:10.1109/CoDIT58514.2023.10284335

[4]	RLAuth: A Risk-Based Authentication System Using Reinforcement Learning IEEE Access, 2023 DOI:10.1109/ACCESS.2023.3286376

[5]	Detection Scheme of Impersonation Attack Based on Sarsa(Lambda) Algorithm in Fog Computing Proceedings of the 2022 12th International Conference on Communication and Network Security, 2022 DOI:10.1145/3586102.3586105

[6]	Detection Scheme of Impersonation Attack Based on Sarsa(Lambda) Algorithm in Fog Computing Proceedings of the 2022 12th International Conference on Communication and Network Security, 2022 DOI:10.1145/3586102.3586105

[7]	Meta-Active Learning in Probabilistically Safe Optimization IEEE Robotics and Automation Letters, 2022 DOI:10.1109/LRA.2022.3193497

[8]	Meta-Active Learning in Probabilistically Safe Optimization IEEE Robotics and Automation Letters, 2022 DOI:10.1109/LRA.2022.3193497

[9]	An Efficient Impersonation Attack Detection Method in Fog Computing Computers, Materials & Continua, 2021 DOI:10.32604/cmc.2021.016260

[10]	Human‐Robot Interaction Control Using Reinforcement Learning 2021 DOI:10.1002/9781119782773.ch8

[11]	Functional test generation from UI test scenarios using reinforcement learning for android applications Software Testing, Verification and Reliability, 2021 DOI:10.1002/stvr.1752

[12]	Investigation of Maximization Bias in Sarsa Variants 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021 DOI:10.1109/SSCI50451.2021.9660081

[13]	Human‐Robot Interaction Control Using Reinforcement Learning 2021 DOI:10.1002/9781119782773.ch8

[14]	Human‐Robot Interaction Control Using Reinforcement Learning 2021 DOI:10.1002/9781119782773.ch1

[15]	Servo Health Monitoring Based on Feature Learning via Deep Neural Network IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3132046

[16]	A New Reinforcement Learning Algorithm Based on Counterfactual Experience Replay 2020 39th Chinese Control Conference (CCC), 2020 DOI:10.23919/CCC50068.2020.9189606

[17]	Functional test generation from UI test scenarios using reinforcement learning for android applications Software Testing, Verification and Reliability, 2020 DOI:10.1002/stvr.1752

[18]	UAV Landmark Detection Based on Convolutional Neural Network 2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), 2020 DOI:10.1109/ECICE50847.2020.9301968

[19]	Deep Reinforcement Learning with Applications in Transportation Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 DOI:10.1145/3292500.3332299

[20]	Deep Reinforcement Learning with Adaptive Update Target Combination The Computer Journal, 2019 DOI:10.1093/comjnl/bxz066

[21]	Deep Reinforcement Learning with Applications in Transportation Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 DOI:10.1145/3292500.3332299

[22]	Deep Reinforcement Learning with Sarsa and Q-Learning: A Hybrid Approach IEICE Transactions on Information and Systems, 2018 DOI:10.1587/transinf.2017EDP7278

[23]	Ensemble Network Architecture for Deep Reinforcement Learning Mathematical Problems in Engineering, 2018 DOI:10.1155/2018/2129393

[24]	Causal Analytics for Applied Risk Analysis International Series in Operations Research & Management Science, 2018 DOI:10.1007/978-3-319-78242-3_1

[25]	DOUBLE SARSA BASED MACHINE LEARNING TO IMPROVE QUALITY OF VIDEO STREAMING OVER HTTP THROUGH WIRELESS NETWORKS 2018 ITU Kaleidoscope: Machine Learning for a 5G Future (ITU K), 2018 DOI:10.23919/ITU-WT.2018.8597682

Follow SCIRP

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	+86 18163351462(WhatsApp)
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