Explore Books on
reinforcement learning

Reinforcement Learning

By Richard S. Sutton

Reinforcement and systemic machine learning for decision making

By Parag Kulkarni

Multi-Agent Machine Learning

By H. M. Schwartz

Motivated reinforcement learning

By Kathryn E. Merrick

Reinforcement learning and approximate dynamic programming for feedback control

By Frank L. Lewis,Derong Liu

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

By Verena Rieser

Reinforcement Learning for Adaptive Dialogue Systems

By Verena Rieser

Recent Advances in Reinforcement Learning

By Scott Sanner

Learning classifier systems

By IWLCS 2006 (2006 Seattle, Wash.)

Foundations of learning classifier systems

By Larry Bull

Adaptive representations for reinforcement learning

By Shimon Whiteson

Recent advances in reinforcement learning

By Leslie Pack Kaelbling

Reinforcement learning with Python

By Bob Story

Reinforcement Learning and Optimal Control

By Dimitri Bertsekas

Reinforcement learning

By Richard S. Sutton

Algorithms for reinforcement learning

By Csaba Szepesvári

Learning classifier systems

By

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

By Bharath Ramsundar,Reza Bosagh Zadeh

Recent advances in reinforcement learning

By Leslie Pack Kaelbling

Reinforcement learning

By Richard S. Sutton

Statistical Reinforcement Learning

By Tetsuro Morimura

Recent Advances in Reinforcement Learning Lecture Notes in Artificial Intelligence

By Sertan Girgin

Reinforcement Learning Adaptation Learning and Optimization

By Marco Wiering

Intelligent Decision Making

By Mayur Rele