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Improving the performance of Q-learning using simultanouse Q-values updating

https://doi.org/10.1109/ictck.2014.7033528
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s12555-012-0119-9openalex-snapshot
An efficient initialization approach of Q-learning for mobile robots
inferredcites →https://doi.org/10.1016/j.asoc.2011.01.045openalex-snapshot
Knowledge of opposite actions for reinforcement learning
inferredcites →https://doi.org/10.1023/a:1007968115863openalex-snapshot
Embedding a Priori Knowledge in Reinforcement Learning
inferredcites →https://doi.org/10.1109/cec.2003.1299395openalex-snapshot
Two mode Q-learning
inferredcites →https://doi.org/10.1109/cimca.2005.1631345openalex-snapshot
Opposition-Based Learning: A New Scheme for Machine Intelligence
inferredcites →https://doi.org/10.1109/icsmc.2008.4811370openalex-snapshot
Accelerated Q-learning for fail state and action spaces
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tsmcb.2004.832154openalex-snapshot
A New Q-Learning Algorithm Based on the Metropolis Criterion
inferredcites →https://doi.org/10.17863/cam.132164openalex-snapshot
Learning from Delayed Rewards
inferredcites →https://doi.org/10.20965/jaciii.2006.p0578openalex-snapshot
Opposition-Based Reinforcement Learning
inferredcites →https://doi.org/10.20965/jaciii.2013.p0721openalex-snapshot
Acceleration of Reinforcement Learning with Incomplete Prior Information
inferredcites →https://doi.org/10.7551/mitpress/3118.003.0018openalex-snapshot
Action Selection Methods using Reinforcement Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Review of Reinforcement Learning-Based Control in Soft Robotics Applications
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A Reinforcement Learning-Based Fault Tolerant Control Design Approach Using the Double Q-Learning Algorithm
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Enhancing sustainability in palm oil industry: reinforcement learning for renewable energy management considered climatic variability
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Proactive longitudinal control to preclude disruptive lane changes of human-driven vehicles in mixed-flow traffic
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Smart controller for conical tank system using reinforcement learning algorithm
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Reinforcement Learning-Based Routing Protocol for Underwater Wireless Sensor Networks: A Comparative Survey
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Improved Q-Learning Algorithm Based on Flower Pollination Algorithm and Tabulation Method for Unmanned Aerial Vehicle Path Planning
inferred← citeshttps://doi.org/10.1109/globecom38437.2019.9014160openalex-snapshot
Reinforcement Learning for Smart Charging of Electric Buses in Smart Grid
inferred← citeshttps://doi.org/10.1109/ic3sis54991.2022.9885624openalex-snapshot
Adaptive Task Scheduling Procedure By Using Improvised Q-Learning Technique In Internet Of Things
inferred← citeshttps://doi.org/10.1109/icaica54878.2022.9844553openalex-snapshot
Reinforcement Learning Path Planning based on Step Batch Q-Learning Algorithm
inferred← citeshttps://doi.org/10.1109/icc.2019.8761575openalex-snapshot
Empowering Reinforcement Learning on Big Sensed Data for Intrusion Detection
inferred← citeshttps://doi.org/10.1109/icc42927.2021.9500698openalex-snapshot
Federated Reinforcement Learning-Supported IDS for IoT-steered Healthcare Systems
inferred← citeshttps://doi.org/10.1109/jiot.2024.3398797openalex-snapshot
Q-Learning-Based Routing Optimization Algorithm for Underwater Sensor Networks
inferred← citeshttps://doi.org/10.1109/tsg.2020.2972208openalex-snapshot
Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration
inferred← citeshttps://doi.org/10.1109/tsg.2023.3270564openalex-snapshot
An Adaptive V2G Capacity-Based Frequency Regulation Scheme With Integral Reinforcement Learning Against DoS Attacks
inferred← citeshttps://doi.org/10.20381/ruor-23338openalex-snapshot
Machine Learning-driven Intrusion Detection Techniques in Critical Infrastructures Monitored by Sensor Networks
inferred← citeshttps://doi.org/10.3390/electronics11213636openalex-snapshot
A Vision-Based Bio-Inspired Reinforcement Learning Algorithms for Manipulator Obstacle Avoidance
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Non-connected Vehicle Detection Using Connected Vehicles
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