Reinforcement learning.

Integral and inverse reinforcement learning for optimal control systems and games by: (Electronic resources)

Learning motor skills = from algorithms to robot experiments / by: (Electronic resources)

Design of experiments for reinforcement learning by: (Electronic resources)

Reinforcement and systemic machine learning for decision making by: (Electronic resources)

Multi-agent machine learning = a reinforcement approach / by: (Electronic resources)

Reinforcement learning for optimal feedback control = a Lyapunov-based approach / by: (Electronic resources)

Deep reinforcement learning for wireless networks by: (Electronic resources)

Deep reinforcement learning with Python = with PyTorch, TensorFlow and OpenAI Gym / by: (Electronic resources)

Handbook of reinforcement learning and control by: (Electronic resources)

Deep reinforcement learning = fundamentals, research and applications / by: (Electronic resources)

Reinforcement learning with hybrid quantum approximation in the NISQ context by: (Electronic resources)

Reinforcement learning from scratch = understanding current approaches -- with examples in Java and Greenfoot / by: (Electronic resources)

Decision making under uncertainty and reinforcement learning = theory and algorithms / by: (Electronic resources)

Output feedback reinforcement learning control for linear systems by: (Electronic resources)

Reinforcement learning for finance = solve problems in finance with CNN and RNN using the tensorflow library / by: (Electronic resources)

Deep reinforcement learning processor design for mobile applications by: (Electronic resources)

Reinforcement learning for reconfigurable intelligent surfaces = assisted wireless communication systems / by: (Electronic resources)

Reinforcement learning = theory and python implementation / by: (Electronic resources)

Applications of optimal transport to economics and related topics by: (Electronic resources)

Reinforcement learning methods in speech and language technology by: (Electronic resources)

Mathematical foundations of reinforcement learning by: (Electronic resources)

Markov decision processes and reinforcement learning for timely UAV-IoT data collection applications by: (Electronic resources)

Control systems and reinforcement learning by: (Electronic resources)

Generic multi-agent reinforcement learning approach for flexible job-shop scheduling by: (Electronic resources)

The art of reinforcement learning = fundamentals, mathematics, and implementations with Python / by: (Electronic resources)

Deep reinforcement learning = frontiers of artificial intelligence / by: (Electronic resources)

Reinforcement learning aided performance optimization of feedback control systems by: (Electronic resources)

Applied reinforcement learning with Python = with OpenAI Gym, Tensorflow, and Keras / by: (Electronic resources)

Multi-armed bandits = theory and applications to online learning in networks / by: (Electronic resources)

State-of-the-art deep learning models in Tensorflow = modern machine learning in the Google colab ecosystem / by: (Electronic resources)

Learning to play = reinforcement learning and games / by: (Electronic resources)