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ETQ-learning: an improved Q-learning algorithm for path planning
Path planning algorithm has always been the core of intelligent robot research; a good path planning algorithm can significantly enhance the...
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Study of Q-learning and deep Q-network learning control for a rotary inverted pendulum system
The rotary inverted pendulum system (RIPS) is an underactuated mechanical system with highly nonlinear dynamics and it is difficult to control a RIPS...
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A Q-learning-based distributed queuing Mac protocol for Internet-of-Things networks
Many previous studies showed that some nodes should be in a slee** state while the traffic is high. These nodes can wake up periodically to...
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Improved Q-Learning Algorithm for AGV Path Optimization
With the rapid development of intelligent manufacturing technology, AGV has developed vigorously in the fields of industry, agriculture and...
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Throughput and Lifetime Enhancement of WSNs Using Transmission Power Control and Q-learning
In this paper, a Q-learning algorithm is proposed to improve the performance of the routing in the Wireless Sensor Networks (WSNs). We have also...
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Q-learning based task scheduling and energy-saving MAC protocol for wireless sensor networkss
The primary problem for a resource-limited Wireless Sensor Network is how to extend the system reliability without sacrificing system performance...
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Q-learning-based metaheuristic algorithm for thermoeconomic optimization of a shell-and-tube evaporator working with refrigerant mixtures
This research study proposes a Q-learning-based metaheuristic algorithm framework for thermal design optimization of a shell-and-tube evaporator...
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A Q-Learning Based Power-Aware Data Dissemination Protocol for Wireless Sensor Networks
In order to improve the lifetime of wireless sensor networks (WSNs), a power-aware data dissemination protocol based on Q-learning is proposed in...
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Novel Decomposition-Based Multi-objective Evolutionary Algorithm Using Reinforcement Learning Adaptive Operator Selection (MOEA/D-QL)
It is known that applying adaptive operator selection (AOS) techniques can improve the search process in the space of candidate solutions of a...
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A multi-agent deep Q-learning-based joint relay and jammer selection in dual-hop wireless networks
Physical layer security (PLS) has cropped up as a promising solution to secure the wireless network. Cooperative communication is capable of...
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Solving a Job Shop Scheduling Problem Using Q-Learning Algorithm
Job Shop Scheduling Problem (JSSP) is among the combinatorial optimization and Non-Deterministic Polynomial-time (NP) problems. Researchers have...
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A Hybrid Principal Label Space Transformation-Based Binary Relevance Support Vector Machine and Q-Learning Algorithm for Multi-label Classification
Classification is one of the most important Machine Learning processes, with numerous applications in a variety of fields. Data are associated with...
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An adaptive backoff selection scheme based on Q-learning for CSMA/CA
In dynamic wireless networks, nodes move in large-scale spaces with different communications scenarios, including network traffic and unpredicted...
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Q-Learning Based Particle Swarm Optimization with Multi-exemplar and Elite Learning
The particle swarm optimization (PSO) is widely adopted for solving global optimization problems. However, most existing enhanced PSO versions use...
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Smart control of traffic lights based on traffic density in the multi-intersection network by using Q learning
In urban areas, utilizing traffic lights to prioritize vehicles at the intersection is a solution to control traffic. Among the smart traffic light...
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Real power loss reduction by Q-learning and hyper-heuristic method
This paper proposes an algorithm endorsement design using Q-learning and hyper-heuristic method (QH) to support choice architects select the supreme...
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Optimal path planning method based on epsilon-greedy Q-learning algorithm
Path planning in an environment with obstacles is an ongoing problem for mobile robots. Q-learning algorithm increases its importance due to its...
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A Modified Q-learning Algorithm Facing for Path Planning and Obstacle Avoidance Method for Unmanned Aerial Vehicle
Nowadays, Unmanned Aerial Vehicles (UAVs) have been widely used in the area of aerial photography, information collection during emergencies, and...
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Q-Learning-Based Financial Trading: Some Results and Comparisons
In this paper, we consider different financial trading systems (FTSs) based on a Reinforcement Learning (RL) methodology known as Q-Learning (QL). QL...
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Improved K-Means Based Q Learning Algorithm for Optimal Clustering and Node Balancing in WSN
A wireless sensor network is a potential technique which is most suitable for continuous monitoring applications where the human intervention is not...
