Dynamic Input Deep Learning Control of Artificial Avatars in a Multi-Agent Joint Motor Task. [PDF]
Lombardi M, Liuzza D, di Bernardo M.
europepmc +1 more source
Locally weighted learning methods for non-rigid robot control
This thesis develops a novel approach to robot control that learns to account for a robot's dynamic complexities while executing various control tasks using inspiration from biological sensorimotor control and machine learning. A robot that can learn its
Lehnert, Christopher
core
Deep reinforcement learning control unlocks enhanced heat transfer in turbulent convection. [PDF]
Zhou Z, Zhu X.
europepmc +1 more source
Knowledge-guided self-learning control strategy for mixed vehicle platoons with delays. [PDF]
Wang J +7 more
europepmc +1 more source
Reinforcement learning control method for greenhouse vegetable irrigation driven by dynamic clipping and negative incentive mechanism. [PDF]
Tang R +4 more
europepmc +1 more source
Iterative Learning Control Without Resetting Conditions of an Algorithm Based on a Finite-Time Zeroing Neural Network. [PDF]
Chai Y +5 more
europepmc +1 more source
17401751Deep neural networks are adept at modeling complex relationships between input and output variables. When trained on diverse datasets, they can understand not just the specifics of individual objects but also the broader principles governing an ...
Frison, Lilli, Gölzhäuser, Simon
core
Adaptive formation learning control for cooperative AUVs under complete uncertainty. [PDF]
Jandaghi E, Zhou M, Stegagno P, Yuan C.
europepmc +1 more source
Event-triggered iterative learning control for output constrained multi-agent systems. [PDF]
Cao W, Li H, Qiao J, Zhu Y.
europepmc +1 more source

