Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models

Applications of Artificial Intelligence Techniques to Enhance Sustainability of Industry 4.0: Design of an Artificial Neural Network Model as Dynamic Behavior Optimizer of Robotic Arms

(2020) Aydin Azizi   COMPLEXITY

Policy derivation methods for critic-only reinforcement learning in continuous spaces

(2018) Eduard Alibekov et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

High-performance parallel hexapod-robotic light abrasive grinding using real-time tool deflection compensation and constant resultant force control

(2018) Masoud Latifinavid et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Benchmarking model-free and model-based optimal control

(2017) Ivan Koryakovskiy et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Incremental Receptive Field Weighted Actor-Critic

(2012) Dong-Hyun Lee et al.   IEEE Transactions on Industrial Informatics

Efficient Model Learning Methods for Actor–Critic Control

(2011) I. Grondman et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Modeling, parameter estimation and nonlinear control of automotive electronic throttle using a Rapid-Control Prototyping technique

(2010) R. Grepl et al.   INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY