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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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1answer
57 views

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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0answers
18 views

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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0answers
17 views

How is the horizon length handled in model predictive control?

There are at least two major control techniques available for steering a car on a line. The first one is a direct policy which is coded in an algorithm. For example, the AI can decide to move to the ...
4
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1answer
132 views

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 ...
3
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2answers
139 views

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 ...
12
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1answer
924 views

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 ...
2
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0answers
21 views

Is action model learning with machine learning techniques feasible?

In the control theory, a forward model describes predicted behaviors of a system. A forward model of a car physics can calculate the position of the car with x/y value if the steering wheel is put in ...
6
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2answers
2k views

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 ...