Questions tagged [control-theory]
For questions related to control theory and its relation to reinforcement learning and other artificial intelligence sub-fields.
8
questions
2
votes
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 ...
1
vote
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 ...
1
vote
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
votes
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
votes
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
votes
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
votes
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
votes
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 ...
