KIcker: An Industrial Drive and Control Foosball System automated with Deep Reinforcement Learning

A review of machine learning for the optimization of production processes

(2019) Dorina Weichert et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Learning dexterous in-hand manipulation

(2019) OpenAI: Marcin Andrychowicz et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Assessing Transferability From Simulation to Reality for Reinforcement Learning

(2019) Fabio Muratore et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Model Based Motion State Estimation and Trajectory Prediction of Spinning Ball for Ping-Pong Robots using Expectation-Maximization Algorithm

(2017) Yongsheng Zhao et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

Intelligent Manufacturing in the Context of Industry 4.0: A Review

(2017) Ray Y. Zhong et al.   Engineering

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Reinforcement learning in robotics: A survey

(2013) Jens Kober et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

(2012) Ivo Grondman et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Ball localization and tracking in a highly dynamic table soccer environment

(2012) Rob Janssen et al.   MECHATRONICS