Reinforcement learning.

Multi-agent machine learning DUP_1 = a reinforcement approach / by: (Language materials, printed)

Reinforcement and systemic machine learning for decision making by: (Language materials, printed)

Multi-agent machine learning = a reinforcement approach / by: (Language materials, printed)

Design of experiments for reinforcement learning 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)

Reinforcement learning : = an introduction / 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)

Control systems and reinforcement learning by: (Language materials, printed)

Human-robot interaction control using reinforcement learning / by: (Language materials, printed)

Fundamentals of reinforcement learning 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)

Control systems and reinforcement learning / by: (Language materials, printed)

Reinforcement learning = theory and python implementation / by: (Language materials, printed)