Reinforcement learning.
Overview
Works: | 34 works in 19 publications in 19 languages |
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Titles
The art of reinforcement learning = fundamentals, mathematics, and implementations with Python /
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Deep reinforcement learning processor design for mobile applications
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Multi-armed bandits : = theory and applications to online learning in networks /
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Hands-on reinforcement learning for games : = implementing self-learning agents in games using artificial intelligence techniques /
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Reinforcement learning for adaptive dialogue systems = a data-driven methodology for dialogue management and natural language generation /
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Reinforcement learning and approximate dynamic programming for feedback control /
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TEXPLORE = temporal difference reinforcement learning for robots and time-constrained domains /
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Reinforcement and systemic machine learning for decision making DUP_1
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TensorFlow for deep learning : = from linear regression to reinforcement learning /
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馬可夫決策程序為基礎之阿卡西記錄學習方法及其應用 = = Markov Decision Process Based Akashic Record Learning Method and Its Application /
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Reinforcement learning for optimal feedback control = a Lyapunov-based approach /
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Deep reinforcement learning = frontiers of artificial intelligence /
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Practical reinforcement learning : = develop self-evolving, intelligent agents with OpenAI Gym, Python, and Java /
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Reinforcement learning for cyber-physical systems with cybersecurity case studies /
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TensorFlow reinforcement learning quick start guide : = get up and running with training and deploying intelligent, self-learning agents using Python /
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Keras reinforcement learning projects : = 9 projects exploring popular reinforcement learning techniques to build self-learning agents /
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Reinforcement learning with TensorFlow : = a beginners's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
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Multi-armed bandits : = theory and applications to online learning in networks /
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