Reinforcement learning.
Overview
| Works: | 35 works in 20 publications in 20 languages | |
|---|---|---|
Titles
Reinforcement learning for adaptive dialogue systems = a data-driven methodology for dialogue management and natural language generation /
by:
(Language materials, printed)
Reinforcement learning and approximate dynamic programming for feedback control /
by:
(Language materials, printed)
TEXPLORE = temporal difference reinforcement learning for robots and time-constrained domains /
by:
(Language materials, printed)
Reinforcement and systemic machine learning for decision making DUP_1
by:
(Language materials, printed)
TensorFlow for deep learning : = from linear regression to reinforcement learning /
by:
(Language materials, printed)
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 /
by:
(Language materials, printed)
Reinforcement learning for optimal feedback control = a Lyapunov-based approach /
by:
(Language materials, printed)
Deep reinforcement learning = frontiers of artificial intelligence /
by:
(Language materials, printed)
Practical reinforcement learning : = develop self-evolving, intelligent agents with OpenAI Gym, Python, and Java /
by:
(Language materials, printed)
Reinforcement learning for cyber-physical systems with cybersecurity case studies /
by:
(Language materials, printed)
TensorFlow reinforcement learning quick start guide : = get up and running with training and deploying intelligent, self-learning agents using Python /
by:
(Language materials, printed)
Keras reinforcement learning projects : = 9 projects exploring popular reinforcement learning techniques to build self-learning agents /
by:
(Language materials, printed)
Reinforcement learning with TensorFlow : = a beginners's guide to designing self-learning systems with TensorFlow and OpenAI Gym /
by:
(Language materials, printed)
Multi-armed bandits : = theory and applications to online learning in networks /
by:
(Language materials, printed)
Hands-on reinforcement learning for games : = implementing self-learning agents in games using artificial intelligence techniques /
by:
(Language materials, printed)
Multi-armed bandits : = theory and applications to online learning in networks /
by:
(Language materials, printed)
Deep reinforcement learning processor design for mobile applications
by:
(Language materials, printed)
The art of reinforcement learning = fundamentals, mathematics, and implementations with Python /
by:
(Language materials, printed)
Show more
Fewer
Subjects