Reinforcement Learning

Reinforcement learning

Reinforcement learning with Python

A study of model-based average reward reinforcement learning

Recent advances in reinforcement learning

Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)

Algorithms for reinforcement learning

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Reinforcement and Systemic Machine Learning for Decision Making

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations

Reinforcement learning

Reinforcement learning and approximate dynamic programming for feedback control

Reinforcement learning for job-shop scheduling

Learning classifier systems

Recent advances in reinforcement learning

Motivated reinforcement learning

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations

Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations

Bootstrapping reinforcement learning-based dialogue strategies from wizard-of-oz data

Reinforcement Learning Adaptation Learning and Optimization

Learning classifier systems

Statistical Reinforcement Learning

Multi-Agent Machine Learning

A near term approach to embedded training

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Reinforcement Learning and Optimal Control

Recent Advances in Reinforcement Learning Lecture Notes in Artificial Intelligence

Adaptive representations for reinforcement learning

Intelligent Decision Making: An AI-Based Approach

Recent Advances in Reinforcement Learning

Reinforcement Learning for Adaptive Dialogue Systems

AI and ML in Industrial Engineering: Concepts and Applications