Reinforcement learning.
Overview
Works: | 44 works in 29 publications in 29 languages |
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Titles
Abstraction in reinforcement learning :using option discovery and state similarity /
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Discovering hierarchy in rienforcement learning :automatic modelling of task-hierarchies by machines through sense-act interactions with their environments /
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Reinforcement learning for adaptive dialogue systemsa data-driven methodology for dialogue management and natural language generation /
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Reinforcement learning for optimal feedback controla Lyapunov-based approach /
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Towards user-centric intelligent network selection in 5G heterogeneous wireless networksa reinforcement learning perspective /
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Applied reinforcement learning with Pythonwith OpenAI Gym, Tensorflow, and Keras /
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Deep reinforcement learning with Pythonwith PyTorch, TensorFlow and OpenAI Gym /
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Reinforcement learning aided performance optimization of feedback control systems
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Multi-armed banditstheory and applications to online learning in networks /
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State-of-the-art deep learning models in Tensorflowmodern machine learning in the Google colab ecosystem /
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Reinforcement learning for cyber-physical systems with cybersecurity case studies /
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Reinforcement learning and stochastic optimization :a unified framework for sequential decisions /
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Reinforcement learning with hybrid quantum approximation in the NISQ context
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Generic multi-agent reinforcement learning approach for flexible job-shop scheduling
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Reinforcement learning from scratchunderstanding current approaches -- with examples in Java and Greenfoot /
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Decision making under uncertainty and reinforcement learningtheory and algorithms /
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Reinforcement learning for financesolve problems in finance with CNN and RNN using the tensorflow library /
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Reinforcement learningoptimal feedback control with industrial applications /
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The art of reinforcement learningfundamentals, mathematics, and implementations with Python /
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