Reinforcement learning.
Overview
Works: | 33 works in 27 publications in 27 languages |
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Titles
Reinforcement learning = with Open AI, TensorFlow and Keras using Python /
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Reinforcement learning for optimal feedback control = a Lyapunov-based approach /
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(Electronic resources)
Towards user-centric intelligent network selection in 5G heterogeneous wireless networks = a reinforcement learning perspective /
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Reinforcement learning aided performance optimization of feedback control systems
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Applied reinforcement learning with Python = with OpenAI Gym, Tensorflow, and Keras /
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(Electronic resources)
Multi-armed bandits = theory and applications to online learning in networks /
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(Electronic resources)
Reinforcement learning with hybrid quantum approximation in the NISQ context
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Reinforcement learning from scratch = understanding current approaches -- with examples in Java and Greenfoot /
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Decision making under uncertainty and reinforcement learning = theory and algorithms /
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Reinforcement learning for finance = solve problems in finance with CNN and RNN using the tensorflow library /
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(Electronic resources)
Reinforcement learning = optimal feedback control with industrial applications /
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Deep reinforcement learning with Python = with PyTorch, TensorFlow and OpenAI Gym /
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(Electronic resources)
State-of-the-art deep learning models in Tensorflow = modern machine learning in the Google colab ecosystem /
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Generic multi-agent reinforcement learning approach for flexible job-shop scheduling
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