Examples of using Reinforcement learning in English and their translations into Swedish
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Reinforcement learning(RL).
Only Azure delivers this powerful reinforcement learning- based capability through an easy-to-use API.
Reinforcement Learning is used for training a computer to carry out a specific task.
To realize reinforcement learning, deep learning 
Machine Learning  techniques(preferably reinforcement learning).
Reinforcement learning: the algorithms are trained by positive
In particular, his research will explore new areas- the application of reinforcement learning in the domain of Internet of Things(IoT), for example.
Reinforcement learning(RL)30 is about encouraging good things
analyze enormous amounts of data for reinforcement learning, in which a system(computer) learns  by itself
Reinforcement learning is the set of techniques that allow artificial intelligence(AI)
and visit the reinforcement learning page to learn  what Microsoft Research is doing to advance it.
By using Reinforcement Learning and reward changes in the process control which leads to energy savings, an optimal control of the process is created.
The successful candidate will join a research group that is focusing on new control design methodologies for hybrid systems combining tools from control theory, reinforcement learning and formal verification methodologies from computer science.
Reinforcement learning: You have a goal for which you aim,
deep reinforcement learning, inverse reinforcement learning, decision theory and game theory.
A combination of CNNs with Reinforcement Learning is called Deep Reinforcement Learning and is used to make the computer be able to use a camera as a sensor when it is carrying out its task cf.
knowledge to Chalmers and our department in the field of machine learning  and reinforcement learning", says Professor Tomas McKelvey,
Reinforcement learning was recently successfully used for real-world robotic manipulation tasks, without the need for human demonstration,
We are studying how one can use self-learning systems-‘reinforcement learning', together with‘generative models'- to allow the machine itself to decide when,
Reinforcement Learning gained increasing popularity in the past years.
In the case of self-learning algorithms- so-called deep learning  or reinforcement learning- the challenge is the great quantity of data necessary for the algorithm to learn  enough about the system for it to make effective decisions.
Be consistent with preparation, learning and reinforcement, and you will be surprised how soon you will get rid of those diapers for good!
Be consistent with preparation, learning and reinforcement, and you will be surprised how soon you will get rid of those nappies for good!