Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm

Reinforcement Learning: An Introduction

Richard S. Sutton, Andy Barto · IEEE Transactions on Neural Networks · 1998 · 26.8K citations

Artificial Intelligence, Engineering, Deep Reinforcement Learning +3

Continuous control with deep reinforcement learning

Timothy Lillicrap, Jonathan J. Hunt, Alexander Pritzel et al. · arXiv (Cornell University) · 2016 · 6.8K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +12

Model predictive control: Theory and practice—A survey

Carlos E. García, David M. Prett, Manfred Morari · Automatica · 1989 · 5.2K citations

Control Method, Control System Engineering, Engineering +6

An Introduction to MCMC for Machine Learning

Christophe Andrieu, Nando de Freitas, Michael I. Jordan · Machine Learning · 2003 · 2.4K citations · Full text

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Eric Brochu, Vlad M. Cora, Nando de Freitas · arXiv (Cornell University) · 2010 · 2.1K citations · Full text

Mathematical Programming, Artificial Intelligence, Engineering +18