Questions tagged [control-theory]
For questions related to control theory and its relation to reinforcement learning and other artificial intelligence sub-fields.
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Seeking methods to incorporate arbitrary actuator faults for Control Optimization
I am working on a problem where a control method, backed by a Neural Network (NN), dictates the movement of a 1D actuator to influence a specific process. This actuator can move linearly within a set ...
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What is the difference between reinforcement learning and optimal control?
Coming from a process (optimal) control background, I have begun studying the field of deep reinforcement learning.
Sutton & Barto (2015) state that
particularly important (to the writing of the ...
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How do self-driving cars perform lane changes?
I am a bit stuck trying to understand how a lane change is performed from an operational point of view.
Let's assume a self-driving car uses an occupancy grid map for local planning, this map may even ...
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Are there examples of neural networks (used for control) implemented on a FPGA or on a neurochip?
Greetings to all respected colleagues!
I want to consult on the use of FPGAs and neurochips. I plan to use it in my laboratory project for programming control systems on neural networks.
In my work,...
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What does a joint probability density function have to do with Stochastic Optimal Control and Reinforcement Learning?
I stumbled upon a job offer from a company that was looking for someone who was good with Reinforcement Learning (applied to finance) and something in their offer caught my eye. It goes something like ...
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How to deal with approximate states when doing path planning?
If one is interested in implementing a path planning algorithm that is grid-based, one needs to consider the fact that your grid points will never represent the true state of the robot.
How is this ...
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Can OpenAI simulations be used in real world applications?
I know that classical control systems have been used to solve the problem of the inverted pendulum - inverted pendulum.
But I've seen that people have also used machine learning techniques to solve ...
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Solving the dead time problem for control using reinforcement learning
There are several occasion that reinforcement learning can be used as a control mean.
The action is for example the set target temperature (which in many occasions change with time) and the state is ...
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How do I solve this optimal control problem with reinforcement learning?
I am new to reinforcement learning. I would like to solve an optimal control problem with reinforcement learning.
The objective is for a wolf to catch a rabbit. The wolf and the rabbit run on a ...
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Is there any difference between a control and an action in reinforcement learning?
There are reinforcement learning papers (e.g. Metacontrol for Adaptive Imagination-Based Optimization) that use (apparently, interchangeably) the term control or action to refer to the effect of the ...
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When should I use Reinforcement Learning vs PID Control?
When designing solutions to problems such as the Lunar Lander on OpenAIGym, Reinforcement Learning is a tempting means of giving the agent adequate action control so as to successfully land.
But ...
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