REINFORCEMENT LEARNING DEL 1, 3 HP

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  • DURATION
    13 WEEKS
  • SUBJECT AREA
    Artificial Intelligence
  • COURSE LEVEL
    Second Cycle
  • CREDITS
    3.0 HP
  • INSTITUTION
    Örebro University
  • STUDY TYPE
    Distance
  • START DATE
    2022-09-20
  • END DATE
    2022-12-17

Applications 2022-06-03 - 2022-09-13

COURSE DESCRIPTION

Reinforcement learning - (RL) is a method for learning to make an optimal decision through trial and error. The goal of RL is to achieve an optimal policy for each state in a system. The course covers the underlying formalism of RL called Markovska decision-making processes and basic RL algorithms. Examples are dynamic programming. We will show how to model a problem as a Markovska decision-making process and implement basic RL algorithms to solve them. In addition, we will explore different ways to compare and evaluate the performance of learning methods.

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