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Application of neural networks in financial sphereThis article discusses the capabilities of Deep Reinforcement Learning algorithms in the field
Application of reinforcement learning to revenue managementApplication of reinforcement learning to revenue management
Reinforcement Learning for Solving Control Problems in Robotics †The use of reinforcement learning technology for the optimal control problem solution is considered
Optimal robust online tracking control for space manipulator in task space using off-policy reinforcement learning uncertainty in task space in previous research. Based on off-policy reinforcement learning, a model
Deep Reinforcement Learning Based Resource Allocation Method in Future Wireless Networks with Blockchain Assisted MEC Network reinforcement learning (RAMBAN) to address this issue because standard approaches are ineffective
An empirical study of the naïve REINFORCE algorithm for predictive maintenanceReinforcement Learning (RL) is a biologically inspired, autonomous machine learning method. RL
Deep reinforcement learning in financial portfolio management or minimize the risks over a holding period. The Reinforcement Learning (RL) is machine learning approach
Application of reinforcement learning to the problem of traffic light control at a crossroadAlthough the fundamentals of reinforcement learning are rooted in ideas generated in the last
Implementation of Reinforcement Learning Tools for Real-Time Intelligent Decision Support SystemsThe paper describes implementation of multi-agent
reinforcement learning tool based on temporal
Employing of RL Technology to Develop an Adaptive Motion Controller for a Line Follower Robot robot using reinforcement learning technology. The digital twin and the reinforcement learning algorithm
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